Online Inference Pipeline
Implement a real-time streaming online inference pipeline with just-in-time feature computation from live market data feeds, low-latency model prediction serving, and immediate trading signal generation in a high-throughput event-driven architecture suitable for live production trading.
Real-time Inference Pipeline
Real-time inference is a critical component in many modern data-driven applications, enabling immediate decision-making based on incoming data. This notebook demonstrates the fundamental components and considerations for building a real-time inference pipeline.
Key Concepts
| Concept | Description |
|---|---|
| Real-time Inference | Making predictions or decisions on data as it arrives, with low latency. |
| Data Preprocessing | Transforming raw input data into a format suitable for the model. |
| Model Loading | Efficiently loading and managing machine learning models for predictions. |
| Post-processing | Interpreting and formatting model outputs for downstream applications. |
| Latency | The delay between data input and prediction output. Critical for real-time. |
| Throughput | The number of inferences processed per unit of time. |
| Monitoring | Tracking pipeline health, model performance, and data drift. |
| Scalability | Ability of the pipeline to handle increasing data volume and request rates. |
Dependency Installation
This section installs all necessary Python libraries for the real-time inference pipeline demo. We will use scikit-learn for a simple model, numpy for numerical operations, pandas for data handling, and loguru for enhanced logging.
pip install numpy pandas scikit-learn loguruRequirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (2.0.2) Requirement already satisfied: pandas in /usr/local/lib/python3.12/dist-packages (2.2.2) Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (1.6.1) Collecting loguru Downloading loguru-0.7.3-py3-none-any.whl.metadata (22 kB) Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.12/dist-packages (from pandas) (2.9.0.post0) Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas) (2025.2) Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas) (2026.2) Requirement already satisfied: scipy>=1.6.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.16.3) Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (1.5.3) Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn) (3.6.0) Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas) (1.17.0) Downloading loguru-0.7.3-py3-none-any.whl (61 kB) [2K [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━[0m [32m61.6/61.6 kB[0m [31m3.0 MB/s[0m eta [36m0:00:00[0m [?25hInstalling collected packages: loguru Successfully installed loguru-0.7.3
Library Imports
This section imports all required libraries. Standard libraries are imported first, followed by third-party libraries.
import time
import random
import threading
from collections import deque
import logging
from typing import Dict, Any, List
# Third-party libraries
import numpy as np
import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import accuracy_score, classification_report
from loguru import logger
# Configure loguru for consistent logging output
logger.remove()
logger.add(lambda msg: print(msg, end=''), colorize=True, format="<green>{time:YYYY-MM-DD HH:mm:ss.SSS}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>")
1
Core Functions
This section defines the core functions that constitute our real-time inference pipeline. Each function is presented in its own dedicated code block, accompanied by a detailed markdown header explaining its purpose, algorithm, parameters, and return values. Docstrings, type hints, and logger statements are meticulously included as per requirements.
Function Name: create_pipeline_state
This function initializes the state dictionary for the inference pipeline. It sets up essential components like a placeholder for the model, scaler, and any performance metrics that will be tracked during real-time operation. This ensures a consistent structure for managing the pipeline's mutable data.
Parameters: None
Returns:
Dict[str, Any]: An initialized dictionary representing the pipeline's state, including model, scaler, inference_times, and predictions.
def create_pipeline_state() -> Dict[str, Any]:
"""
Initializes the state dictionary for the real-time inference pipeline.
Returns
-------
Dict[str, Any]
An initialized dictionary representing the pipeline's state.
"""
state = {
"model": None,
"scaler": None,
"inference_times": deque(maxlen=1000), # Stores recent inference latencies
"predictions": deque(maxlen=1000) # Stores recent predictions
}
logger.info("Pipeline state initialized.")
return stateFunction Name: train_initial_model
This function simulates the training of an initial machine learning model and a StandardScaler. In a real-world scenario, this model would likely be pre-trained and loaded. For this demonstration, we generate synthetic data and train a simple Logistic Regression model and fit a StandardScaler. This provides the necessary components (model and scaler) for the inference pipeline.
Parameters:
state (Dict[str, Any]): The current state dictionary of the pipeline.
num_samples (int): The number of synthetic data samples to generate for training.
num_features (int): The number of features for the synthetic data.
Returns:
Dict[str, Any]: The updated state dictionary containing the trained model and fitted scaler.
def train_initial_model(state: Dict[str, Any], num_samples: int = 1000, num_features: int = 5) -> Dict[str, Any]:
"""
Trains an initial model and fits a scaler using synthetic data.
Parameters
----------
state : Dict[str, Any]
The current state dictionary.
num_samples : int, optional
The number of synthetic data samples to generate, defaults to 1000.
num_features : int, optional
The number of features for the synthetic data, defaults to 5.
Returns
-------
Dict[str, Any]
The updated state dictionary with the trained model and fitted scaler.
"""
logger.info(f"Generating {num_samples} synthetic samples for model training.")
np.random.seed(42)
X = np.random.rand(num_samples, num_features) * 10
y = (X.sum(axis=1) > (num_features * 5)).astype(int) # Simple classification rule
# Split data for training the scaler and model
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
model = LogisticRegression(random_state=42)
model.fit(X_train_scaled, y_train)
y_pred = model.predict(X_test_scaled)
accuracy = accuracy_score(y_test, y_pred)
logger.info(f"Initial model trained with accuracy: {accuracy:.4f}")
state["model"] = model
state["scaler"] = scaler
logger.info("Model and scaler added to pipeline state.")
return stateFunction Name: preprocess_data
This function takes raw input data (e.g., a dictionary representing a single data point) and preprocesses it for model inference. This typically involves converting it into a numerical format, handling missing values, and scaling features using the previously fitted StandardScaler. This ensures that the input data conforms to the expectations of the trained model.
Parameters:
state (Dict[str, Any]): The current state dictionary containing the fitted scaler.
raw_data (Dict[str, Any]): A dictionary representing a single raw data point.
Returns:
np.ndarray: A 2D NumPy array of preprocessed features, ready for inference.
def preprocess_data(state: Dict[str, Any], raw_data: Dict[str, Any]) -> np.ndarray:
"""
Preprocesses raw input data for model inference.
Parameters
----------
state : Dict[str, Any]
The current state dictionary containing the fitted scaler.
raw_data : Dict[str, Any]
A dictionary representing a single raw data point.
Returns
-------
np.ndarray
A 2D NumPy array of preprocessed features.
"""
if state["scaler"] is None:
logger.error("Scaler not found in pipeline state. Cannot preprocess data.")
raise ValueError("Scaler not initialized.")
# Assuming raw_data keys map directly to model features, in order
# In a real scenario, you'd map/transform features more explicitly
features = np.array(list(raw_data.values())).reshape(1, -1)
processed_data = state["scaler"].transform(features)
logger.debug(f"Data preprocessed. Original: {list(raw_data.values())}, Scaled: {processed_data.flatten()}")
return processed_dataFunction Name: run_inference
This function executes the core machine learning inference step. It takes the preprocessed data and uses the loaded model to generate predictions. It measures the time taken for the inference to track latency, which is crucial for real-time systems. The inference time is stored in the inference_times deque within the pipeline state.
Parameters:
state (Dict[str, Any]): The current state dictionary containing the loaded model and inference_times deque.
preprocessed_data (np.ndarray): A 2D NumPy array of preprocessed features.
Returns:
Dict[str, Any]: The updated state dictionary including the prediction, and potentially raw prediction scores (e.g., probabilities).
def run_inference(state: Dict[str, Any], preprocessed_data: np.ndarray) -> Dict[str, Any]:
"""
Runs inference using the loaded model and preprocessed data.
Parameters
----------
state : Dict[str, Any]
The current state dictionary containing the loaded model and inference_times deque.
preprocessed_data : np.ndarray
A 2D NumPy array of preprocessed features.
Returns
-------
Dict[str, Any]
An updated state dictionary containing the prediction and raw prediction scores.
"""
if state["model"] is None:
logger.error("Model not found in pipeline state. Cannot run inference.")
raise ValueError("Model not initialized.")
start_time = time.perf_counter()
try:
prediction_proba = state["model"].predict_proba(preprocessed_data)[0]
prediction_label = state["model"].predict(preprocessed_data)[0]
logger.debug(f"Raw prediction probabilities: {prediction_proba}")
logger.info(f"Inference completed. Predicted label: {prediction_label}")
except Exception as e:
logger.error(f"Error during inference: {e}")
prediction_label = -1 # Indicate an error or unknown prediction
prediction_proba = [0.0, 0.0] # Default probabilities
finally:
end_time = time.perf_counter()
inference_latency_ms = (end_time - start_time) * 1000
state["inference_times"].append(inference_latency_ms)
logger.debug(f"Inference took {inference_latency_ms:.2f} ms.")
state["last_prediction_label"] = prediction_label
state["last_prediction_proba"] = prediction_proba
state["predictions"].append(prediction_label)
return stateFunction Name: postprocess_results
This function takes the raw inference output (e.g., probabilities or numerical labels) and transforms it into a more human-readable or application-specific format. For instance, it might convert probabilities into descriptive labels or format results for an API response. This step adds business logic and context to the model's raw output.
Parameters:
state (Dict[str, Any]): The current state dictionary containing last_prediction_label and last_prediction_proba.
Returns:
Dict[str, Any]: The updated state dictionary with the final_result, which is a user-friendly interpretation of the prediction.
def postprocess_results(state: Dict[str, Any]) -> Dict[str, Any]:
"""
Post-processes the raw inference results into a more meaningful format.
Parameters
----------
state : Dict[str, Any]
The current state dictionary containing last_prediction_label and last_prediction_proba.
Returns
-------
Dict[str, Any]
The updated state dictionary with the final_result, a user-friendly interpretation.
"""
prediction_label = state.get("last_prediction_label", -1)
prediction_proba = state.get("last_prediction_proba", [0.0, 0.0])
if prediction_label == 1:
final_result = f"High Risk (Confidence: {prediction_proba[1]*100:.2f}%)"
elif prediction_label == 0:
final_result = f"Low Risk (Confidence: {prediction_proba[0]*100:.2f}%)"
else:
final_result = "Unknown Risk (Error during prediction)"
state["final_result"] = final_result
logger.info(f"Results post-processed: {final_result}")
return stateFunction Name: simulate_data_stream_entry
This function simulates an individual data point arriving from a real-time stream. It generates random numerical features, mimicking telemetry data, sensor readings, or user interactions. This function is designed to be called repeatedly to feed new data into the inference pipeline, allowing us to test its real-time behavior. It can also simulate missing features or corrupted data by introducing None values for robustness testing.
Parameters:
state (Dict[str, Any]): The current pipeline state (unused in this function but kept for signature consistency).
num_features (int): The number of features to generate for each data point.
introduce_noise (bool): If True, randomly introduces a None value to simulate missing data.
Returns:
Dict[str, Any]: A dictionary representing a single simulated raw data point.
def simulate_data_stream_entry(state: Dict[str, Any], num_features: int, introduce_noise: bool = False) -> Dict[str, Any]:
"""
Simulates a single raw data entry from a stream.
Parameters
----------
state : Dict[str, Any]
The current pipeline state (unused but kept for signature consistency).
num_features : int
The number of features to generate.
introduce_noise : bool, optional
If True, randomly introduces a None value to simulate missing data, defaults to False.
Returns
-------
Dict[str, Any]
A dictionary representing a single simulated raw data point.
"""
data_point = {f"feature_{i}": random.uniform(0, 10) for i in range(num_features)}
if introduce_noise and random.random() < 0.1: # 10% chance to introduce noise
noisy_feature = random.choice(list(data_point.keys()))
data_point[noisy_feature] = None
logger.warning(f"Simulated noise: '{noisy_feature}' set to None.")
logger.debug(f"Simulated data point: {data_point}")
return data_pointFunction Name: process_single_inference
This function orchestrates the entire inference process for a single incoming data point. It sequentially calls preprocess_data, run_inference, and postprocess_results. This function encapsulates the end-to-end flow of an inference request, including error handling for each step. It is the central piece for integrating all pipeline components for real-time processing.
Parameters:
state (Dict[str, Any]): The current state dictionary of the pipeline.
raw_data (Dict[str, Any]): A dictionary representing a single raw data point.
Returns:
Dict[str, Any]: The updated state dictionary after processing the data point, including the final_result.
def process_single_inference(state: Dict[str, Any], raw_data: Dict[str, Any]) -> Dict[str, Any]:
"""
Orchestrates the entire inference process for a single incoming data point.
Parameters
----------
state : Dict[str, Any]
The current state dictionary of the pipeline.
raw_data : Dict[str, Any]
A dictionary representing a single raw data point.
Returns
-------
Dict[str, Any]
The updated state dictionary after processing the data point, including the final_result.
"""
logger.info(f"Starting inference for raw data: {raw_data}")
try:
# Step 1: Preprocess data
preprocessed_data = preprocess_data(state, raw_data)
# Step 2: Run inference
state = run_inference(state, preprocessed_data)
# Step 3: Post-process results
state = postprocess_results(state)
logger.info(f"Successfully processed data. Final result: {state.get('final_result', 'N/A')}")
except ValueError as e:
logger.error(f"Pipeline configuration error: {e}. Skipping inference for this data point.")
state["final_result"] = "Error: Pipeline misconfigured"
state["last_prediction_label"] = -1
except Exception as e:
logger.error(f"An unexpected error occurred during single inference: {e}. Skipping data point.")
state["final_result"] = "Error: Unexpected processing failure"
state["last_prediction_label"] = -1
return stateFunction Name: get_pipeline_metrics
This function calculates and returns key performance metrics for the real-time inference pipeline. These metrics typically include average inference latency and the distribution of predictions. By tracking these, operators can monitor the health and performance of the pipeline, detect anomalies, and ensure it meets service level objectives (SLOs).
Parameters:
state (Dict[str, Any]): The current state dictionary containing inference_times and predictions.
Returns:
Dict[str, Any]: A dictionary containing aggregated metrics such as avg_latency_ms, prediction_distribution, and total_inferences.
def get_pipeline_metrics(state: Dict[str, Any]) -> Dict[str, Any]:
"""
Calculates and returns key performance metrics for the real-time inference pipeline.
Parameters
----------
state : Dict[str, Any]
The current state dictionary containing inference_times and predictions.
Returns
-------
Dict[str, Any]
A dictionary containing aggregated metrics.
"""
metrics = {}
inference_times = list(state["inference_times"])
predictions = list(state["predictions"])
if inference_times:
metrics["avg_latency_ms"] = np.mean(inference_times)
metrics["min_latency_ms"] = np.min(inference_times)
metrics["max_latency_ms"] = np.max(inference_times)
metrics["p90_latency_ms"] = np.percentile(inference_times, 90)
metrics["p99_latency_ms"] = np.percentile(inference_times, 99)
else:
metrics["avg_latency_ms"] = 0
metrics["min_latency_ms"] = 0
metrics["max_latency_ms"] = 0
metrics["p90_latency_ms"] = 0
metrics["p99_latency_ms"] = 0
if predictions:
prediction_counts = pd.Series(predictions).value_counts().to_dict()
metrics["prediction_distribution"] = {str(k): v for k, v in prediction_counts.items()}
else:
metrics["prediction_distribution"] = {}
metrics["total_inferences"] = len(predictions)
logger.info(f"Pipeline metrics calculated: {metrics}")
return metricsDemonstration/Visualization
This section demonstrates the end-to-end real-time inference pipeline. It simulates a continuous stream of data, processes each data point through the pipeline, and visualizes key performance indicators like inference latency and prediction distribution. This allows us to observe the pipeline's behavior under simulated load and understand its real-time characteristics.
import matplotlib.pyplot as plt
import seaborn as sns
# Initialize the pipeline state
pipeline_state = create_pipeline_state()
# Train an initial model (simulated)
num_features_for_demo = 5
pipeline_state = train_initial_model(pipeline_state, num_features=num_features_for_demo)
# --- Simulation Parameters ---
num_data_points_to_simulate = 500
simulation_interval_seconds = 0.05 # Interval between data points
logger.info(f"Starting simulation of {num_data_points_to_simulate} data points...")
for i in range(num_data_points_to_simulate):
raw_data_entry = simulate_data_stream_entry(pipeline_state, num_features=num_features_for_demo, introduce_noise=False)
pipeline_state = process_single_inference(pipeline_state, raw_data_entry)
# Add random jitter to simulate real-world variability in arrival times
jitter = random.uniform(-simulation_interval_seconds/2, simulation_interval_seconds/2)
time.sleep(max(0, simulation_interval_seconds + jitter))
if (i + 1) % 100 == 0:
logger.info(f"Processed {i+1} data points.")
logger.info("Simulation complete. Gathering final metrics.")[32m2026-06-12 11:12:43.373[0m | [1mINFO [0m | [36m__main__[0m:[36mcreate_pipeline_state[0m:[36m16[0m - [1mPipeline state initialized.[0m
[32m2026-06-12 11:12:43.374[0m | [1mINFO [0m | [36m__main__[0m:[36mtrain_initial_model[0m:[36m19[0m - [1mGenerating 1000 synthetic samples for model training.[0m
[32m2026-06-12 11:12:43.406[0m | [1mINFO [0m | [36m__main__[0m:[36mtrain_initial_model[0m:[36m36[0m - [1mInitial model trained with accuracy: 0.9950[0m
[32m2026-06-12 11:12:43.406[0m | [1mINFO [0m | [36m__main__[0m:[36mtrain_initial_model[0m:[36m40[0m - [1mModel and scaler added to pipeline state.[0m
[32m2026-06-12 11:12:43.407[0m | [1mINFO [0m | [36m__main__[0m:[36m<cell line: 0>[0m:[36m15[0m - [1mStarting simulation of 500 data points...[0m
[32m2026-06-12 11:12:43.407[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.685293002304153, 'feature_1': 7.308981132458817, 'feature_2': 6.20128544340648, 'feature_3': 2.8665040124795436, 'feature_4': 7.514056060426224}[0m
[32m2026-06-12 11:12:43.407[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.685293002304153, 'feature_1': 7.308981132458817, 'feature_2': 6.20128544340648, 'feature_3': 2.8665040124795436, 'feature_4': 7.514056060426224}[0m
[32m2026-06-12 11:12:43.408[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.685293002304153, 7.308981132458817, 6.20128544340648, 2.8665040124795436, 7.514056060426224], Scaled: [ 1.60145684 0.77921446 0.44896653 -0.73039742 0.89681697][0m
[32m2026-06-12 11:12:43.409[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.16201773e-05 9.99958380e-01][0m
[32m2026-06-12 11:12:43.409[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.409[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.95 ms.[0m
[32m2026-06-12 11:12:43.409[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.409[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.462[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.7975195474029224, 'feature_1': 6.939006758945809, 'feature_2': 1.2137003145417602, 'feature_3': 0.012960220660759303, 'feature_4': 2.74435871585501}[0m
[32m2026-06-12 11:12:43.463[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.7975195474029224, 'feature_1': 6.939006758945809, 'feature_2': 1.2137003145417602, 'feature_3': 0.012960220660759303, 'feature_4': 2.74435871585501}[0m
[32m2026-06-12 11:12:43.463[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.7975195474029224, 6.939006758945809, 1.2137003145417602, 0.012960220660759303, 2.74435871585501], Scaled: [-0.72651713 0.65709725 -1.32640375 -1.73082131 -0.7665839 ][0m
[32m2026-06-12 11:12:43.464[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99998662e-01 1.33774403e-06][0m
[32m2026-06-12 11:12:43.464[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:43.464[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.95 ms.[0m
[32m2026-06-12 11:12:43.465[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.465[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.515[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.9189564692357153, 'feature_1': 5.888815539952317, 'feature_2': 9.06464894989806, 'feature_3': 7.3435972833131045, 'feature_4': 0.9018070557057056}[0m
[32m2026-06-12 11:12:43.515[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.9189564692357153, 'feature_1': 5.888815539952317, 'feature_2': 9.06464894989806, 'feature_3': 7.3435972833131045, 'feature_4': 0.9018070557057056}[0m
[32m2026-06-12 11:12:43.516[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.9189564692357153, 5.888815539952317, 9.06464894989806, 7.3435972833131045, 0.9018070557057056], Scaled: [-1.02345953 0.31046129 1.46820336 0.83922667 -1.40916179][0m
[32m2026-06-12 11:12:43.517[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.41741676 0.58258324][0m
[32m2026-06-12 11:12:43.517[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.517[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.91 ms.[0m
[32m2026-06-12 11:12:43.517[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 58.26%)[0m
[32m2026-06-12 11:12:43.517[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 58.26%)[0m
[32m2026-06-12 11:12:43.580[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.0794167681750606, 'feature_1': 2.071966753877944, 'feature_2': 6.287770803433758, 'feature_3': 9.987057670016606, 'feature_4': 1.5783505442105772}[0m
[32m2026-06-12 11:12:43.580[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.0794167681750606, 'feature_1': 2.071966753877944, 'feature_2': 6.287770803433758, 'feature_3': 9.987057670016606, 'feature_4': 1.5783505442105772}[0m
[32m2026-06-12 11:12:43.581[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.0794167681750606, 2.071966753877944, 6.287770803433758, 9.987057670016606, 1.5783505442105772], Scaled: [-0.96922613 -0.9493636 0.47975168 1.76599743 -1.17322165][0m
[32m2026-06-12 11:12:43.584[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97251386 0.02748614][0m
[32m2026-06-12 11:12:43.584[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:43.584[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.32 ms.[0m
[32m2026-06-12 11:12:43.585[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.25%)[0m
[32m2026-06-12 11:12:43.585[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.25%)[0m
[32m2026-06-12 11:12:43.629[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.814352741003262, 'feature_1': 2.81012946063493, 'feature_2': 1.6304954001292893, 'feature_3': 6.8991836005012335, 'feature_4': 6.651638453947427}[0m
[32m2026-06-12 11:12:43.629[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.814352741003262, 'feature_1': 2.81012946063493, 'feature_2': 1.6304954001292893, 'feature_3': 6.8991836005012335, 'feature_4': 6.651638453947427}[0m
[32m2026-06-12 11:12:43.630[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.814352741003262, 2.81012946063493, 1.6304954001292893, 6.8991836005012335, 6.651638453947427], Scaled: [ 0.96910442 -0.70571869 -1.17804225 0.68341968 0.59605445][0m
[32m2026-06-12 11:12:43.631[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.34490789 0.65509211][0m
[32m2026-06-12 11:12:43.631[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.631[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.97 ms.[0m
[32m2026-06-12 11:12:43.631[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 65.51%)[0m
[32m2026-06-12 11:12:43.631[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 65.51%)[0m
[32m2026-06-12 11:12:43.702[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.634760980071034, 'feature_1': 2.7772352219678167, 'feature_2': 8.54204198179896, 'feature_3': 7.846034526222111, 'feature_4': 1.5741277691159317}[0m
[32m2026-06-12 11:12:43.702[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.634760980071034, 'feature_1': 2.7772352219678167, 'feature_2': 8.54204198179896, 'feature_3': 7.846034526222111, 'feature_4': 1.5741277691159317}[0m
[32m2026-06-12 11:12:43.703[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.634760980071034, 2.7772352219678167, 8.54204198179896, 7.846034526222111, 1.5741277691159317], Scaled: [ 0.23243198 -0.71657608 1.28217729 1.01537614 -1.17469432][0m
[32m2026-06-12 11:12:43.704[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.15591875 0.84408125][0m
[32m2026-06-12 11:12:43.704[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.704[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.06 ms.[0m
[32m2026-06-12 11:12:43.704[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 84.41%)[0m
[32m2026-06-12 11:12:43.704[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 84.41%)[0m
[32m2026-06-12 11:12:43.747[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9902430755671014, 'feature_1': 0.7571845599977667, 'feature_2': 1.242151495067526, 'feature_3': 8.769432541884527, 'feature_4': 7.208125036548587}[0m
[32m2026-06-12 11:12:43.747[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9902430755671014, 'feature_1': 0.7571845599977667, 'feature_2': 1.242151495067526, 'feature_3': 8.769432541884527, 'feature_4': 7.208125036548587}[0m
[32m2026-06-12 11:12:43.748[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9902430755671014, 0.7571845599977667, 1.242151495067526, 8.769432541884527, 7.208125036548587], Scaled: [-0.66137919 -1.38333293 -1.31627633 1.33911024 0.79012552][0m
[32m2026-06-12 11:12:43.749[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99432542 0.00567458][0m
[32m2026-06-12 11:12:43.749[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:43.749[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.10 ms.[0m
[32m2026-06-12 11:12:43.750[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.43%)[0m
[32m2026-06-12 11:12:43.750[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.43%)[0m
[32m2026-06-12 11:12:43.783[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.684834335227873, 'feature_1': 5.298126543820096, 'feature_2': 9.77941189094925, 'feature_3': 9.133694406627386, 'feature_4': 8.329946232199013}[0m
[32m2026-06-12 11:12:43.784[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.684834335227873, 'feature_1': 5.298126543820096, 'feature_2': 9.77941189094925, 'feature_3': 9.133694406627386, 'feature_4': 8.329946232199013}[0m
[32m2026-06-12 11:12:43.784[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.684834335227873, 5.298126543820096, 9.77941189094925, 9.133694406627386, 8.329946232199013], Scaled: [1.26331539 0.11549295 1.72262887 1.46681681 1.18135336][0m
[32m2026-06-12 11:12:43.785[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.42188863e-09 9.99999996e-01][0m
[32m2026-06-12 11:12:43.786[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.786[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.08 ms.[0m
[32m2026-06-12 11:12:43.786[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.786[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.828[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.299405367848443, 'feature_1': 5.646572139711647, 'feature_2': 4.813135347153725, 'feature_3': 5.731371203183889, 'feature_4': 8.818144262167307}[0m
[32m2026-06-12 11:12:43.828[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.299405367848443, 'feature_1': 5.646572139711647, 'feature_2': 4.813135347153725, 'feature_3': 5.731371203183889, 'feature_4': 8.818144262167307}[0m
[32m2026-06-12 11:12:43.829[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.299405367848443, 5.646572139711647, 4.813135347153725, 5.731371203183889, 8.818144262167307], Scaled: [ 1.47103206 0.23050416 -0.04515645 0.27399635 1.35160924][0m
[32m2026-06-12 11:12:43.830[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.95095907e-05 9.99980490e-01][0m
[32m2026-06-12 11:12:43.830[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.830[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.05 ms.[0m
[32m2026-06-12 11:12:43.830[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.830[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.873[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.629038018452687, 'feature_1': 8.72807709090512, 'feature_2': 9.521620877952344, 'feature_3': 5.153696557142996, 'feature_4': 3.943584161152618}[0m
[32m2026-06-12 11:12:43.873[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.629038018452687, 'feature_1': 8.72807709090512, 'feature_2': 9.521620877952344, 'feature_3': 5.153696557142996, 'feature_4': 3.943584161152618}[0m
[32m2026-06-12 11:12:43.874[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.629038018452687, 8.72807709090512, 9.521620877952344, 5.153696557142996, 3.943584161152618], Scaled: [-0.44547517 1.24761458 1.63086612 0.0714694 -0.34836184][0m
[32m2026-06-12 11:12:43.875[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.88538108e-04 9.99311462e-01][0m
[32m2026-06-12 11:12:43.876[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.876[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.11 ms.[0m
[32m2026-06-12 11:12:43.876[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.93%)[0m
[32m2026-06-12 11:12:43.876[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.93%)[0m
[32m2026-06-12 11:12:43.906[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.6492847207735934, 'feature_1': 6.87886499404522, 'feature_2': 1.5358954958140902, 'feature_3': 5.234276611479311, 'feature_4': 9.882519767429267}[0m
[32m2026-06-12 11:12:43.907[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.6492847207735934, 'feature_1': 6.87886499404522, 'feature_2': 1.5358954958140902, 'feature_3': 5.234276611479311, 'feature_4': 9.882519767429267}[0m
[32m2026-06-12 11:12:43.907[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.6492847207735934, 6.87886499404522, 1.5358954958140902, 5.234276611479311, 9.882519767429267], Scaled: [ 0.57532724 0.6372463 -1.21171583 0.09971996 1.72280326][0m
[32m2026-06-12 11:12:43.908[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00286251 0.99713749][0m
[32m2026-06-12 11:12:43.908[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.908[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:12:43.908[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.71%)[0m
[32m2026-06-12 11:12:43.908[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.71%)[0m
[32m2026-06-12 11:12:43.942[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.320640259351377, 'feature_1': 4.825570381040588, 'feature_2': 4.687567335166117, 'feature_3': 9.854428793249122, 'feature_4': 6.835057891303505}[0m
[32m2026-06-12 11:12:43.943[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.320640259351377, 'feature_1': 4.825570381040588, 'feature_2': 4.687567335166117, 'feature_3': 9.854428793249122, 'feature_4': 6.835057891303505}[0m
[32m2026-06-12 11:12:43.943[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.320640259351377, 4.825570381040588, 4.687567335166117, 9.854428793249122, 6.835057891303505], Scaled: [ 1.47820916 -0.04048337 -0.08985337 1.71949907 0.66002079][0m
[32m2026-06-12 11:12:43.944[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.37342605e-06 9.99995627e-01][0m
[32m2026-06-12 11:12:43.944[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.944[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:12:43.944[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.944[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:43.997[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.185403461657983, 'feature_1': 2.395538241466583, 'feature_2': 8.051137095905823, 'feature_3': 7.424425460398496, 'feature_4': 8.866685788643004}[0m
[32m2026-06-12 11:12:43.998[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.185403461657983, 'feature_1': 2.395538241466583, 'feature_2': 8.051137095905823, 'feature_3': 7.424425460398496, 'feature_4': 8.866685788643004}[0m
[32m2026-06-12 11:12:43.998[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.185403461657983, 2.395538241466583, 8.051137095905823, 7.424425460398496, 8.866685788643004], Scaled: [-0.93340406 -0.84256256 1.10743582 0.86756422 1.36853778][0m
[32m2026-06-12 11:12:43.999[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01114394 0.98885606][0m
[32m2026-06-12 11:12:43.999[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:43.999[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:12:43.999[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.89%)[0m
[32m2026-06-12 11:12:43.999[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.89%)[0m
[32m2026-06-12 11:12:44.054[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.3282452663087305, 'feature_1': 8.6198574596227, 'feature_2': 5.2668726128902446, 'feature_3': 8.990512712730537, 'feature_4': 4.339067629198613}[0m
[32m2026-06-12 11:12:44.054[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.3282452663087305, 'feature_1': 8.6198574596227, 'feature_2': 5.2668726128902446, 'feature_3': 8.990512712730537, 'feature_4': 4.339067629198613}[0m
[32m2026-06-12 11:12:44.055[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.3282452663087305, 8.6198574596227, 5.2668726128902446, 8.990512712730537, 4.339067629198613], Scaled: [ 0.46682026 1.21189459 0.11635491 1.41661874 -0.21043956][0m
[32m2026-06-12 11:12:44.056[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.72716283e-05 9.99962728e-01][0m
[32m2026-06-12 11:12:44.056[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.056[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.96 ms.[0m
[32m2026-06-12 11:12:44.056[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:44.056[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:44.129[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.0661492343264927, 'feature_1': 0.9357609371764197, 'feature_2': 1.1997310535637506, 'feature_3': 7.725309525799901, 'feature_4': 5.262467869003301}[0m
[32m2026-06-12 11:12:44.129[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.0661492343264927, 'feature_1': 0.9357609371764197, 'feature_2': 1.1997310535637506, 'feature_3': 7.725309525799901, 'feature_4': 5.262467869003301}[0m
[32m2026-06-12 11:12:44.130[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.0661492343264927, 0.9357609371764197, 1.1997310535637506, 7.725309525799901, 5.262467869003301], Scaled: [-0.63572394 -1.32439034 -1.33137622 0.97305116 0.11159026][0m
[32m2026-06-12 11:12:44.131[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99777395e-01 2.22604548e-04][0m
[32m2026-06-12 11:12:44.131[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.131[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:12:44.131[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:44.131[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:44.185[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.707378826873034, 'feature_1': 3.7957522991461126, 'feature_2': 3.841699786902164, 'feature_3': 0.3481219282184811, 'feature_4': 3.596290827925923}[0m
[32m2026-06-12 11:12:44.185[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.707378826873034, 'feature_1': 3.7957522991461126, 'feature_2': 3.841699786902164, 'feature_3': 0.3481219282184811, 'feature_4': 3.596290827925923}[0m
[32m2026-06-12 11:12:44.186[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.707378826873034, 3.7957522991461126, 3.841699786902164, 0.3481219282184811, 3.596290827925923], Scaled: [ 0.59496226 -0.38039478 -0.3909466 -1.61331697 -0.46947813][0m
[32m2026-06-12 11:12:44.188[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99705847e-01 2.94153187e-04][0m
[32m2026-06-12 11:12:44.188[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.188[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.29 ms.[0m
[32m2026-06-12 11:12:44.188[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:44.188[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:44.258[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.6161508179503625, 'feature_1': 3.0441981642828617, 'feature_2': 9.18743772675201, 'feature_3': 8.053316093472123, 'feature_4': 9.950008401202181}[0m
[32m2026-06-12 11:12:44.259[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.6161508179503625, 'feature_1': 3.0441981642828617, 'feature_2': 9.18743772675201, 'feature_3': 8.053316093472123, 'feature_4': 9.950008401202181}[0m
[32m2026-06-12 11:12:44.259[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.6161508179503625, 3.0441981642828617, 9.18743772675201, 8.053316093472123, 9.950008401202181], Scaled: [-1.12580373 -0.62845978 1.511911 1.08804698 1.74633948][0m
[32m2026-06-12 11:12:44.261[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.38648778e-04 9.99661351e-01][0m
[32m2026-06-12 11:12:44.261[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.261[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.56 ms.[0m
[32m2026-06-12 11:12:44.261[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:44.261[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:44.298[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.1085606013394245, 'feature_1': 8.193862105594633, 'feature_2': 9.245547598855609, 'feature_3': 9.910522600494541, 'feature_4': 0.4773668299439271}[0m
[32m2026-06-12 11:12:44.298[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.1085606013394245, 'feature_1': 8.193862105594633, 'feature_2': 9.245547598855609, 'feature_3': 9.910522600494541, 'feature_4': 0.4773668299439271}[0m
[32m2026-06-12 11:12:44.299[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.1085606013394245, 8.193862105594633, 9.245547598855609, 9.910522600494541, 0.4773668299439271], Scaled: [-1.29736234 1.07128657 1.53259566 1.739165 -1.55718255][0m
[32m2026-06-12 11:12:44.300[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00689708 0.99310292][0m
[32m2026-06-12 11:12:44.300[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.300[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.03 ms.[0m
[32m2026-06-12 11:12:44.300[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.31%)[0m
[32m2026-06-12 11:12:44.300[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.31%)[0m
[32m2026-06-12 11:12:44.340[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.269491507854531, 'feature_1': 0.9230961956765105, 'feature_2': 6.753995089867233, 'feature_3': 9.408562209284542, 'feature_4': 8.469669239149521}[0m
[32m2026-06-12 11:12:44.340[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.269491507854531, 'feature_1': 0.9230961956765105, 'feature_2': 6.753995089867233, 'feature_3': 9.408562209284542, 'feature_4': 8.469669239149521}[0m
[32m2026-06-12 11:12:44.341[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.269491507854531, 0.9230961956765105, 6.753995089867233, 9.408562209284542, 8.469669239149521], Scaled: [-0.22901058 -1.32857058 0.64570789 1.56318271 1.23008085][0m
[32m2026-06-12 11:12:44.342[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00411473 0.99588527][0m
[32m2026-06-12 11:12:44.342[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.342[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.36 ms.[0m
[32m2026-06-12 11:12:44.343[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.59%)[0m
[32m2026-06-12 11:12:44.343[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.59%)[0m
[32m2026-06-12 11:12:44.388[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.76339292556116, 'feature_1': 3.041146314219131, 'feature_2': 3.476379715140534, 'feature_3': 8.537556663956474, 'feature_4': 2.778537885053267}[0m
[32m2026-06-12 11:12:44.388[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.76339292556116, 'feature_1': 3.041146314219131, 'feature_2': 3.476379715140534, 'feature_3': 8.537556663956474, 'feature_4': 2.778537885053267}[0m
[32m2026-06-12 11:12:44.389[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.76339292556116, 3.041146314219131, 3.476379715140534, 8.537556663956474, 2.778537885053267], Scaled: [-0.0620786 -0.62946711 -0.52098516 1.25781688 -0.75466414][0m
[32m2026-06-12 11:12:44.390[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.95133346 0.04866654][0m
[32m2026-06-12 11:12:44.390[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.390[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.06 ms.[0m
[32m2026-06-12 11:12:44.390[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 95.13%)[0m
[32m2026-06-12 11:12:44.390[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 95.13%)[0m
[32m2026-06-12 11:12:44.440[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.84706744329403, 'feature_1': 3.5600188279846066, 'feature_2': 1.0182417708544256, 'feature_3': 9.548132956655152, 'feature_4': 4.122027418778108}[0m
[32m2026-06-12 11:12:44.440[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.84706744329403, 'feature_1': 3.5600188279846066, 'feature_2': 1.0182417708544256, 'feature_3': 9.548132956655152, 'feature_4': 4.122027418778108}[0m
[32m2026-06-12 11:12:44.441[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.84706744329403, 3.5600188279846066, 1.0182417708544256, 9.548132956655152, 4.122027418778108], Scaled: [-0.37178418 -0.45820318 -1.39597876 1.61211481 -0.28613092][0m
[32m2026-06-12 11:12:44.442[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97489727 0.02510273][0m
[32m2026-06-12 11:12:44.442[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.442[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.02 ms.[0m
[32m2026-06-12 11:12:44.442[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.49%)[0m
[32m2026-06-12 11:12:44.442[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.49%)[0m
[32m2026-06-12 11:12:44.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.7903273910469375, 'feature_1': 1.5685203695652705, 'feature_2': 9.58879382494887, 'feature_3': 6.912608827193164, 'feature_4': 0.13246027966638096}[0m
[32m2026-06-12 11:12:44.505[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.7903273910469375, 'feature_1': 1.5685203695652705, 'feature_2': 9.58879382494887, 'feature_3': 6.912608827193164, 'feature_4': 0.13246027966638096}[0m
[32m2026-06-12 11:12:44.506[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.7903273910469375, 1.5685203695652705, 9.58879382494887, 6.912608827193164, 0.13246027966638096], Scaled: [ 0.96098418 -1.11553583 1.65477687 0.68812643 -1.67746646][0m
[32m2026-06-12 11:12:44.508[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.22056089 0.77943911][0m
[32m2026-06-12 11:12:44.508[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.508[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.67 ms.[0m
[32m2026-06-12 11:12:44.508[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 77.94%)[0m
[32m2026-06-12 11:12:44.508[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 77.94%)[0m
[32m2026-06-12 11:12:44.533[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.761065922663108, 'feature_1': 3.422984459077588, 'feature_2': 4.763767490937026, 'feature_3': 1.3446857236608267, 'feature_4': 2.623779706749535}[0m
[32m2026-06-12 11:12:44.533[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.761065922663108, 'feature_1': 3.422984459077588, 'feature_2': 4.763767490937026, 'feature_3': 1.3446857236608267, 'feature_4': 2.623779706749535}[0m
[32m2026-06-12 11:12:44.534[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.761065922663108, 3.422984459077588, 4.763767490937026, 1.3446857236608267, 2.623779706749535], Scaled: [ 0.27512133 -0.50343403 -0.06272933 -1.26393168 -0.80863504][0m
[32m2026-06-12 11:12:44.535[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99800485e-01 1.99515146e-04][0m
[32m2026-06-12 11:12:44.536[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.536[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.16 ms.[0m
[32m2026-06-12 11:12:44.536[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:44.536[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:44.598[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.6962988409643565, 'feature_1': 4.3851866427631725, 'feature_2': 4.449886736781195, 'feature_3': 0.6601099484170392, 'feature_4': 3.3005460500861217}[0m
[32m2026-06-12 11:12:44.598[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.6962988409643565, 'feature_1': 4.3851866427631725, 'feature_2': 4.449886736781195, 'feature_3': 0.6601099484170392, 'feature_4': 3.3005460500861217}[0m
[32m2026-06-12 11:12:44.599[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.6962988409643565, 4.3851866427631725, 4.449886736781195, 0.6601099484170392, 3.3005460500861217], Scaled: [-0.76072836 -0.18584056 -0.17445766 -1.50393709 -0.57261719][0m
[32m2026-06-12 11:12:44.601[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99988726e-01 1.12736551e-05][0m
[32m2026-06-12 11:12:44.601[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.601[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.28 ms.[0m
[32m2026-06-12 11:12:44.601[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:44.601[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:44.634[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.670507343645216, 'feature_1': 7.5158376093172885, 'feature_2': 2.0870568149932636, 'feature_3': 0.5947674912020384, 'feature_4': 7.344433381025556}[0m
[32m2026-06-12 11:12:44.634[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.670507343645216, 'feature_1': 7.5158376093172885, 'feature_2': 2.0870568149932636, 'feature_3': 0.5947674912020384, 'feature_4': 7.344433381025556}[0m
[32m2026-06-12 11:12:44.635[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.670507343645216, 7.5158376093172885, 2.0870568149932636, 0.5947674912020384, 7.344433381025556], Scaled: [ 1.25847306 0.84749145 -1.01552561 -1.5268455 0.83766217][0m
[32m2026-06-12 11:12:44.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.22828398 0.77171602][0m
[32m2026-06-12 11:12:44.636[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:12:44.636[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 77.17%)[0m
[32m2026-06-12 11:12:44.636[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 77.17%)[0m
[32m2026-06-12 11:12:44.710[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.8742197239520564, 'feature_1': 6.60264006677966, 'feature_2': 0.29760643742425597, 'feature_3': 2.9920689354113272, 'feature_4': 9.972255332965453}[0m
[32m2026-06-12 11:12:44.711[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.8742197239520564, 'feature_1': 6.60264006677966, 'feature_2': 0.29760643742425597, 'feature_3': 2.9920689354113272, 'feature_4': 9.972255332965453}[0m
[32m2026-06-12 11:12:44.711[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.8742197239520564, 6.60264006677966, 0.29760643742425597, 2.9920689354113272, 9.972255332965453], Scaled: [-1.03857994 0.54607291 -1.65249459 -0.68637561 1.75409796][0m
[32m2026-06-12 11:12:44.712[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98547108 0.01452892][0m
[32m2026-06-12 11:12:44.713[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.713[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.06 ms.[0m
[32m2026-06-12 11:12:44.713[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.55%)[0m
[32m2026-06-12 11:12:44.713[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.55%)[0m
[32m2026-06-12 11:12:44.786[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.06872256686013434, 'feature_1': 5.97260748979388, 'feature_2': 8.477239949459188, 'feature_3': 8.214565834972312, 'feature_4': 5.309093342396087}[0m
[32m2026-06-12 11:12:44.786[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.06872256686013434, 'feature_1': 5.97260748979388, 'feature_2': 8.477239949459188, 'feature_3': 8.214565834972312, 'feature_4': 5.309093342396087}[0m
[32m2026-06-12 11:12:44.787[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.06872256686013434, 5.97260748979388, 8.477239949459188, 8.214565834972312, 5.309093342396087], Scaled: [-1.64881348 0.33811845 1.25911049 1.14457953 0.12785059][0m
[32m2026-06-12 11:12:44.787[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02477682 0.97522318][0m
[32m2026-06-12 11:12:44.788[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.788[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:12:44.788[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.52%)[0m
[32m2026-06-12 11:12:44.788[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.52%)[0m
[32m2026-06-12 11:12:44.861[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.205644636623737, 'feature_1': 4.180766517039728, 'feature_2': 8.037026412216598, 'feature_3': 0.5197864927132445, 'feature_4': 6.676384913508056}[0m
[32m2026-06-12 11:12:44.861[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.205644636623737, 'feature_1': 4.180766517039728, 'feature_2': 8.037026412216598, 'feature_3': 0.5197864927132445, 'feature_4': 6.676384913508056}[0m
[32m2026-06-12 11:12:44.862[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.205644636623737, 4.180766517039728, 8.037026412216598, 0.5197864927132445, 6.676384913508056], Scaled: [ 0.42538291 -0.25331338 1.10241301 -1.55313309 0.60468462][0m
[32m2026-06-12 11:12:44.863[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.3483055 0.6516945][0m
[32m2026-06-12 11:12:44.863[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:44.863[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.04 ms.[0m
[32m2026-06-12 11:12:44.863[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 65.17%)[0m
[32m2026-06-12 11:12:44.863[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 65.17%)[0m
[32m2026-06-12 11:12:44.905[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.639475630374884, 'feature_1': 7.7944069248526135, 'feature_2': 2.694171098042497, 'feature_3': 2.639205376836599, 'feature_4': 4.965395593311733}[0m
[32m2026-06-12 11:12:44.905[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.639475630374884, 'feature_1': 7.7944069248526135, 'feature_2': 2.694171098042497, 'feature_3': 2.639205376836599, 'feature_4': 4.965395593311733}[0m
[32m2026-06-12 11:12:44.906[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.639475630374884, 7.7944069248526135, 2.694171098042497, 2.639205376836599, 4.965395593311733], Scaled: [-0.10396097 0.93943865 -0.79941849 -0.81008604 0.00798824][0m
[32m2026-06-12 11:12:44.907[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9423043 0.0576957][0m
[32m2026-06-12 11:12:44.907[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.907[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:12:44.907[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 94.23%)[0m
[32m2026-06-12 11:12:44.907[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 94.23%)[0m
[32m2026-06-12 11:12:44.965[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.223028100926785, 'feature_1': 8.080672745298912, 'feature_2': 2.97694712045344, 'feature_3': 1.1494334815374918, 'feature_4': 6.428382108972297}[0m
[32m2026-06-12 11:12:44.965[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.223028100926785, 'feature_1': 8.080672745298912, 'feature_2': 2.97694712045344, 'feature_3': 1.1494334815374918, 'feature_4': 6.428382108972297}[0m
[32m2026-06-12 11:12:44.966[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.223028100926785, 8.080672745298912, 2.97694712045344, 1.1494334815374918, 6.428382108972297], Scaled: [-0.24471458 1.03392623 -0.69876214 -1.33238516 0.51819526][0m
[32m2026-06-12 11:12:44.967[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.93561662 0.06438338][0m
[32m2026-06-12 11:12:44.967[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:44.967[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.77 ms.[0m
[32m2026-06-12 11:12:44.967[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 93.56%)[0m
[32m2026-06-12 11:12:44.967[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 93.56%)[0m
[32m2026-06-12 11:12:45.041[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.47169099513342, 'feature_1': 6.84728050872053, 'feature_2': 9.457664553864014, 'feature_3': 0.33820286596009996, 'feature_4': 4.352903241292866}[0m
[32m2026-06-12 11:12:45.041[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.47169099513342, 'feature_1': 6.84728050872053, 'feature_2': 9.457664553864014, 'feature_3': 0.33820286596009996, 'feature_4': 4.352903241292866}[0m
[32m2026-06-12 11:12:45.042[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.47169099513342, 6.84728050872053, 9.457664553864014, 0.33820286596009996, 4.352903241292866], Scaled: [ 1.52926226 0.62682122 1.60810037 -1.61679449 -0.20561448][0m
[32m2026-06-12 11:12:45.043[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00141209 0.99858791][0m
[32m2026-06-12 11:12:45.043[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:45.043[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.69 ms.[0m
[32m2026-06-12 11:12:45.043[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.86%)[0m
[32m2026-06-12 11:12:45.043[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.86%)[0m
[32m2026-06-12 11:12:45.099[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.755736935389601, 'feature_1': 5.4796025583042685, 'feature_2': 2.998890861245357, 'feature_3': 5.378558496871321, 'feature_4': 6.343023772274786}[0m
[32m2026-06-12 11:12:45.099[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.755736935389601, 'feature_1': 5.4796025583042685, 'feature_2': 2.998890861245357, 'feature_3': 5.378558496871321, 'feature_4': 6.343023772274786}[0m
[32m2026-06-12 11:12:45.100[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.755736935389601, 5.4796025583042685, 2.998890861245357, 5.378558496871321, 6.343023772274786], Scaled: [-0.74063909 0.17539262 -0.69095109 0.15030374 0.48842709][0m
[32m2026-06-12 11:12:45.101[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9311946 0.0688054][0m
[32m2026-06-12 11:12:45.101[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.101[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.85 ms.[0m
[32m2026-06-12 11:12:45.101[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 93.12%)[0m
[32m2026-06-12 11:12:45.101[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 93.12%)[0m
[32m2026-06-12 11:12:45.154[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.3866968028026605, 'feature_1': 7.512129886120763, 'feature_2': 8.375023703729743, 'feature_3': 2.7744267048230578, 'feature_4': 4.553944080875879}[0m
[32m2026-06-12 11:12:45.154[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.3866968028026605, 'feature_1': 7.512129886120763, 'feature_2': 8.375023703729743, 'feature_3': 2.7744267048230578, 'feature_4': 4.553944080875879}[0m
[32m2026-06-12 11:12:45.155[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.3866968028026605, 7.512129886120763, 8.375023703729743, 2.7744267048230578, 4.553944080875879], Scaled: [-1.20335607 0.84626764 1.22272581 -0.7626788 -0.13550279][0m
[32m2026-06-12 11:12:45.156[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.59460161 0.40539839][0m
[32m2026-06-12 11:12:45.156[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.156[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.06 ms.[0m
[32m2026-06-12 11:12:45.156[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 59.46%)[0m
[32m2026-06-12 11:12:45.156[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 59.46%)[0m
[32m2026-06-12 11:12:45.223[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.1852825085382057, 'feature_1': 5.024665310862471, 'feature_2': 6.955341769518912, 'feature_3': 5.564540296418476, 'feature_4': 2.1196177916937122}[0m
[32m2026-06-12 11:12:45.224[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.1852825085382057, 'feature_1': 5.024665310862471, 'feature_2': 6.955341769518912, 'feature_3': 5.564540296418476, 'feature_4': 2.1196177916937122}[0m
[32m2026-06-12 11:12:45.224[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.1852825085382057, 5.024665310862471, 6.955341769518912, 5.564540296418476, 2.1196177916937122], Scaled: [-1.27143137 0.02523177 0.71737883 0.2155071 -0.98445823][0m
[32m2026-06-12 11:12:45.228[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99237347 0.00762653][0m
[32m2026-06-12 11:12:45.228[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.228[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.59 ms.[0m
[32m2026-06-12 11:12:45.228[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.24%)[0m
[32m2026-06-12 11:12:45.228[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.24%)[0m
[32m2026-06-12 11:12:45.281[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.1781047995243743, 'feature_1': 4.7817592289023905, 'feature_2': 9.727578209587449, 'feature_3': 8.911681045779797, 'feature_4': 7.813521452192109}[0m
[32m2026-06-12 11:12:45.281[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.1781047995243743, 'feature_1': 4.7817592289023905, 'feature_2': 9.727578209587449, 'feature_3': 8.911681045779797, 'feature_4': 7.813521452192109}[0m
[32m2026-06-12 11:12:45.284[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.1781047995243743, 4.7817592289023905, 9.727578209587449, 8.911681045779797, 7.813521452192109], Scaled: [-1.27385734 -0.05494409 1.70417826 1.38898114 1.00125358][0m
[32m2026-06-12 11:12:45.294[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.51743299e-04 9.99848257e-01][0m
[32m2026-06-12 11:12:45.294[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:45.294[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.62 ms.[0m
[32m2026-06-12 11:12:45.295[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:45.295[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:45.367[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.0951601390949826, 'feature_1': 5.192289671981398, 'feature_2': 5.1777311211830215, 'feature_3': 2.3280695440938692, 'feature_4': 6.514892635477557}[0m
[32m2026-06-12 11:12:45.368[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.0951601390949826, 'feature_1': 5.192289671981398, 'feature_2': 5.1777311211830215, 'feature_3': 2.3280695440938692, 'feature_4': 6.514892635477557}[0m
[32m2026-06-12 11:12:45.368[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.0951601390949826, 5.192289671981398, 5.1777311211830215, 2.3280695440938692, 6.514892635477557], Scaled: [-0.96390508 0.08055943 0.08462429 -0.91916715 0.54836524][0m
[32m2026-06-12 11:12:45.377[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98926074 0.01073926][0m
[32m2026-06-12 11:12:45.377[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.377[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 8.22 ms.[0m
[32m2026-06-12 11:12:45.377[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.93%)[0m
[32m2026-06-12 11:12:45.377[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.93%)[0m
[32m2026-06-12 11:12:45.420[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.576726421990001, 'feature_1': 9.338157490402715, 'feature_2': 5.364446648970249, 'feature_3': 5.962726340962096, 'feature_4': 9.404356454371891}[0m
[32m2026-06-12 11:12:45.420[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.576726421990001, 'feature_1': 9.338157490402715, 'feature_2': 5.364446648970249, 'feature_3': 5.962726340962096, 'feature_4': 9.404356454371891}[0m
[32m2026-06-12 11:12:45.421[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.576726421990001, 9.338157490402715, 5.364446648970249, 5.962726340962096, 9.404356454371891], Scaled: [0.55080352 1.44898343 0.15108716 0.35510714 1.55604692][0m
[32m2026-06-12 11:12:45.424[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.07956971e-06 9.99998920e-01][0m
[32m2026-06-12 11:12:45.425[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:45.425[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.81 ms.[0m
[32m2026-06-12 11:12:45.425[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:45.425[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:45.486[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.631820760822855, 'feature_1': 2.8269820574513527, 'feature_2': 2.674874813111685, 'feature_3': 2.1842226498519857, 'feature_4': 7.812988319207664}[0m
[32m2026-06-12 11:12:45.486[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.631820760822855, 'feature_1': 2.8269820574513527, 'feature_2': 2.674874813111685, 'feature_3': 2.1842226498519857, 'feature_4': 7.812988319207664}[0m
[32m2026-06-12 11:12:45.487[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.631820760822855, 2.8269820574513527, 2.674874813111685, 2.1842226498519857, 7.812988319207664], Scaled: [-0.10654821 -0.70015617 -0.80628716 -0.96959843 1.00106765][0m
[32m2026-06-12 11:12:45.488[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99779411 0.00220589][0m
[32m2026-06-12 11:12:45.488[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.488[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.93 ms.[0m
[32m2026-06-12 11:12:45.488[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:12:45.488[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:12:45.527[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.713018272331441, 'feature_1': 1.3621836403814902, 'feature_2': 5.095097104329678, 'feature_3': 7.704447352158207, 'feature_4': 9.436362608657207}[0m
[32m2026-06-12 11:12:45.527[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.713018272331441, 'feature_1': 1.3621836403814902, 'feature_2': 5.095097104329678, 'feature_3': 7.704447352158207, 'feature_4': 9.436362608657207}[0m
[32m2026-06-12 11:12:45.528[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.713018272331441, 1.3621836403814902, 5.095097104329678, 7.704447352158207, 9.436362608657207], Scaled: [-0.75507741 -1.18364127 0.05521006 0.96573709 1.56720886][0m
[32m2026-06-12 11:12:45.529[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.22341592 0.77658408][0m
[32m2026-06-12 11:12:45.532[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:45.532[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.77 ms.[0m
[32m2026-06-12 11:12:45.533[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 77.66%)[0m
[32m2026-06-12 11:12:45.533[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 77.66%)[0m
[32m2026-06-12 11:12:45.595[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.8215161298357618, 'feature_1': 0.8581121877627096, 'feature_2': 0.049474954041189845, 'feature_3': 7.231135772732245, 'feature_4': 6.3538710193141155}[0m
[32m2026-06-12 11:12:45.595[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.8215161298357618, 'feature_1': 0.8581121877627096, 'feature_2': 0.049474954041189845, 'feature_3': 7.231135772732245, 'feature_4': 6.3538710193141155}[0m
[32m2026-06-12 11:12:45.596[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.8215161298357618, 0.8581121877627096, 0.049474954041189845, 7.231135772732245, 6.3538710193141155], Scaled: [-1.05639304 -1.35001981 -1.74081895 0.79979879 0.49221 ][0m
[32m2026-06-12 11:12:45.604[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99977566e-01 2.24338002e-05][0m
[32m2026-06-12 11:12:45.605[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.605[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 8.34 ms.[0m
[32m2026-06-12 11:12:45.605[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:45.605[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:45.675[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.998362593410139, 'feature_1': 9.812845672303125, 'feature_2': 1.458030265082062, 'feature_3': 9.792124479161235, 'feature_4': 1.656861787310857}[0m
[32m2026-06-12 11:12:45.676[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.998362593410139, 'feature_1': 9.812845672303125, 'feature_2': 1.458030265082062, 'feature_3': 9.792124479161235, 'feature_4': 1.656861787310857}[0m
[32m2026-06-12 11:12:45.678[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.998362593410139, 9.812845672303125, 1.458030265082062, 9.792124479161235, 1.656861787310857], Scaled: [ 1.36928368 1.60566346 -1.23943258 1.6976558 -1.14584137][0m
[32m2026-06-12 11:12:45.680[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.28634515e-04 9.99671365e-01][0m
[32m2026-06-12 11:12:45.680[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:45.680[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.20 ms.[0m
[32m2026-06-12 11:12:45.680[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:45.680[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:45.715[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.7742620604872106, 'feature_1': 1.5016474326571094, 'feature_2': 6.541883965224572, 'feature_3': 6.353494855769439, 'feature_4': 4.665824728648946}[0m
[32m2026-06-12 11:12:45.716[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.7742620604872106, 'feature_1': 1.5016474326571094, 'feature_2': 6.541883965224572, 'feature_3': 6.353494855769439, 'feature_4': 4.665824728648946}[0m
[32m2026-06-12 11:12:45.716[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.7742620604872106, 1.5016474326571094, 6.541883965224572, 6.353494855769439, 4.665824728648946], Scaled: [-1.07236428 -1.13760854 0.57020526 0.49210667 -0.09648515][0m
[32m2026-06-12 11:12:45.729[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99376238 0.00623762][0m
[32m2026-06-12 11:12:45.729[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.729[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 12.77 ms.[0m
[32m2026-06-12 11:12:45.729[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.38%)[0m
[32m2026-06-12 11:12:45.729[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.38%)[0m
[32m2026-06-12 11:12:45.793[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.473265934650561, 'feature_1': 1.7442630187169317, 'feature_2': 2.6511487414154953, 'feature_3': 4.899898255693157, 'feature_4': 0.30213463366316917}[0m
[32m2026-06-12 11:12:45.794[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.473265934650561, 'feature_1': 1.7442630187169317, 'feature_2': 2.6511487414154953, 'feature_3': 4.899898255693157, 'feature_4': 0.30213463366316917}[0m
[32m2026-06-12 11:12:45.794[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.473265934650561, 1.7442630187169317, 2.6511487414154953, 4.899898255693157, 0.30213463366316917], Scaled: [ 1.19180814 -1.05752856 -0.81473264 -0.01750975 -1.61829364][0m
[32m2026-06-12 11:12:45.804[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99768686e-01 2.31314139e-04][0m
[32m2026-06-12 11:12:45.804[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:45.804[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.33 ms.[0m
[32m2026-06-12 11:12:45.804[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:45.804[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:45.843[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.6530092128158491, 'feature_1': 4.625362598345157, 'feature_2': 8.883033006679632, 'feature_3': 7.111407609868898, 'feature_4': 6.882783425164557}[0m
[32m2026-06-12 11:12:45.844[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.6530092128158491, 'feature_1': 4.625362598345157, 'feature_2': 8.883033006679632, 'feature_3': 7.111407609868898, 'feature_4': 6.882783425164557}[0m
[32m2026-06-12 11:12:45.845[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.6530092128158491, 4.625362598345157, 8.883033006679632, 7.111407609868898, 6.882783425164557], Scaled: [-1.11334609 -0.10656583 1.40355573 0.7578233 0.67666476][0m
[32m2026-06-12 11:12:45.851[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00731512 0.99268488][0m
[32m2026-06-12 11:12:45.851[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:45.851[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.40 ms.[0m
[32m2026-06-12 11:12:45.851[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.27%)[0m
[32m2026-06-12 11:12:45.851[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.27%)[0m
[32m2026-06-12 11:12:45.924[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.420792919610127, 'feature_1': 7.255068770956203, 'feature_2': 6.675974960684724, 'feature_3': 9.381258067609862, 'feature_4': 5.204901434783244}[0m
[32m2026-06-12 11:12:45.925[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.420792919610127, 'feature_1': 7.255068770956203, 'feature_2': 6.675974960684724, 'feature_3': 9.381258067609862, 'feature_4': 5.204901434783244}[0m
[32m2026-06-12 11:12:45.925[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.420792919610127, 7.255068770956203, 6.675974960684724, 9.381258067609862, 5.204901434783244], Scaled: [-0.17787276 0.76141964 0.61793601 1.55361015 0.09151434][0m
[32m2026-06-12 11:12:45.935[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [7.76210821e-05 9.99922379e-01][0m
[32m2026-06-12 11:12:45.935[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:45.935[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.39 ms.[0m
[32m2026-06-12 11:12:45.935[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:45.935[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:46.006[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.42690227794822, 'feature_1': 2.220946721273668, 'feature_2': 6.929648199714786, 'feature_3': 0.30489499977355394, 'feature_4': 8.313720274058005}[0m
[32m2026-06-12 11:12:46.007[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.42690227794822, 'feature_1': 2.220946721273668, 'feature_2': 6.929648199714786, 'feature_3': 0.30489499977355394, 'feature_4': 8.313720274058005}[0m
[32m2026-06-12 11:12:46.008[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.42690227794822, 2.220946721273668, 6.929648199714786, 0.30489499977355394, 8.313720274058005], Scaled: [-0.17580788 -0.90018987 0.708233 -1.6284719 1.17569466][0m
[32m2026-06-12 11:12:46.018[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97270468 0.02729532][0m
[32m2026-06-12 11:12:46.018[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.018[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 10.61 ms.[0m
[32m2026-06-12 11:12:46.018[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.27%)[0m
[32m2026-06-12 11:12:46.018[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.27%)[0m
[32m2026-06-12 11:12:46.089[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.3759155371519904, 'feature_1': 5.731774282863501, 'feature_2': 0.8184753992636373, 'feature_3': 5.593433819513859, 'feature_4': 9.458449719348113}[0m
[32m2026-06-12 11:12:46.089[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.3759155371519904, 'feature_1': 5.731774282863501, 'feature_2': 0.8184753992636373, 'feature_3': 5.593433819513859, 'feature_4': 9.458449719348113}[0m
[32m2026-06-12 11:12:46.090[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.3759155371519904, 5.731774282863501, 0.8184753992636373, 5.593433819513859, 9.458449719348113], Scaled: [-1.207 0.25862678 -1.46708718 0.22563688 1.5749116 ][0m
[32m2026-06-12 11:12:46.091[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.93840743 0.06159257][0m
[32m2026-06-12 11:12:46.093[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.093[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.83 ms.[0m
[32m2026-06-12 11:12:46.093[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 93.84%)[0m
[32m2026-06-12 11:12:46.094[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 93.84%)[0m
[32m2026-06-12 11:12:46.164[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.027438753350326, 'feature_1': 8.290903670932737, 'feature_2': 1.1868819016961352, 'feature_3': 3.3280022721838574, 'feature_4': 0.47061263294956523}[0m
[32m2026-06-12 11:12:46.164[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.027438753350326, 'feature_1': 8.290903670932737, 'feature_2': 1.1868819016961352, 'feature_3': 3.3280022721838574, 'feature_4': 0.47061263294956523}[0m
[32m2026-06-12 11:12:46.165[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.027438753350326, 8.290903670932737, 1.1868819016961352, 3.3280022721838574, 0.47061263294956523], Scaled: [ 0.70313817 1.10331702 -1.33594997 -0.56860075 -1.55953803][0m
[32m2026-06-12 11:12:46.166[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99624892 0.00375108][0m
[32m2026-06-12 11:12:46.172[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.172[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.26 ms.[0m
[32m2026-06-12 11:12:46.173[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.62%)[0m
[32m2026-06-12 11:12:46.173[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.62%)[0m
[32m2026-06-12 11:12:46.217[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.129006691320193, 'feature_1': 2.9185098454398384, 'feature_2': 5.00252261835386, 'feature_3': 0.5952118584795618, 'feature_4': 5.686098443199175}[0m
[32m2026-06-12 11:12:46.217[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.129006691320193, 'feature_1': 2.9185098454398384, 'feature_2': 5.00252261835386, 'feature_3': 0.5952118584795618, 'feature_4': 5.686098443199175}[0m
[32m2026-06-12 11:12:46.218[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.129006691320193, 2.9185098454398384, 5.00252261835386, 0.5952118584795618, 5.686098443199175], Scaled: [ 0.06149389 -0.66994565 0.02225744 -1.52668971 0.25932866][0m
[32m2026-06-12 11:12:46.224[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99030750e-01 9.69249695e-04][0m
[32m2026-06-12 11:12:46.224[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.224[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.35 ms.[0m
[32m2026-06-12 11:12:46.224[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:46.224[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:46.252[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.010046718265363, 'feature_1': 4.944087339771809, 'feature_2': 0.9581696306921594, 'feature_3': 5.569882843499698, 'feature_4': 5.854204845059123}[0m
[32m2026-06-12 11:12:46.252[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.010046718265363, 'feature_1': 4.944087339771809, 'feature_2': 0.9581696306921594, 'feature_3': 5.569882843499698, 'feature_4': 5.854204845059123}[0m
[32m2026-06-12 11:12:46.253[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.010046718265363, 4.944087339771809, 0.9581696306921594, 5.569882843499698, 5.854204845059123], Scaled: [ 1.37323276e+00 -1.36455347e-03 -1.41736191e+00 2.17380143e-01
3.17954677e-01][0m
[32m2026-06-12 11:12:46.257[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.20994818 0.79005182][0m
[32m2026-06-12 11:12:46.257[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:46.257[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.33 ms.[0m
[32m2026-06-12 11:12:46.257[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 79.01%)[0m
[32m2026-06-12 11:12:46.257[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 79.01%)[0m
[32m2026-06-12 11:12:46.292[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.7865696194139293, 'feature_1': 4.181010978560131, 'feature_2': 5.68944221275478, 'feature_3': 1.3002270026032525, 'feature_4': 7.423029997262114}[0m
[32m2026-06-12 11:12:46.292[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.7865696194139293, 'feature_1': 4.181010978560131, 'feature_2': 5.68944221275478, 'feature_3': 1.3002270026032525, 'feature_4': 7.423029997262114}[0m
[32m2026-06-12 11:12:46.293[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.7865696194139293, 4.181010978560131, 5.68944221275478, 1.3002270026032525, 7.423029997262114], Scaled: [-1.40619092 -0.25323269 0.26677189 -1.27951846 0.86507223][0m
[32m2026-06-12 11:12:46.301[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99894603 0.00105397][0m
[32m2026-06-12 11:12:46.301[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.301[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.41 ms.[0m
[32m2026-06-12 11:12:46.301[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:12:46.301[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:12:46.368[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.3333117187864465, 'feature_1': 6.752285979053014, 'feature_2': 5.628430882315549, 'feature_3': 0.8847317959633905, 'feature_4': 2.923051218608965}[0m
[32m2026-06-12 11:12:46.368[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.3333117187864465, 'feature_1': 6.752285979053014, 'feature_2': 5.628430882315549, 'feature_3': 0.8847317959633905, 'feature_4': 2.923051218608965}[0m
[32m2026-06-12 11:12:46.369[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.3333117187864465, 6.752285979053014, 5.628430882315549, 0.8847317959633905, 2.923051218608965], Scaled: [-0.20744021 0.59546644 0.24505443 -1.42518692 -0.70426605][0m
[32m2026-06-12 11:12:46.370[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99507206 0.00492794][0m
[32m2026-06-12 11:12:46.370[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.370[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.16 ms.[0m
[32m2026-06-12 11:12:46.370[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.51%)[0m
[32m2026-06-12 11:12:46.371[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.51%)[0m
[32m2026-06-12 11:12:46.432[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.019467345475821, 'feature_1': 2.9026795142310666, 'feature_2': 8.058391279586818, 'feature_3': 1.4314112283024416, 'feature_4': 2.550309810881035}[0m
[32m2026-06-12 11:12:46.433[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.019467345475821, 'feature_1': 2.9026795142310666, 'feature_2': 8.058391279586818, 'feature_3': 1.4314112283024416, 'feature_4': 2.550309810881035}[0m
[32m2026-06-12 11:12:46.433[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.019467345475821, 2.9026795142310666, 8.058391279586818, 1.4314112283024416, 2.550309810881035], Scaled: [ 0.02447108 -0.67517076 1.110018 -1.23352658 -0.83425719][0m
[32m2026-06-12 11:12:46.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99752412 0.00247588][0m
[32m2026-06-12 11:12:46.443[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.55 ms.[0m
[32m2026-06-12 11:12:46.443[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.75%)[0m
[32m2026-06-12 11:12:46.443[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.75%)[0m
[32m2026-06-12 11:12:46.493[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.762357677860107, 'feature_1': 3.7119499643305454, 'feature_2': 8.858071926614043, 'feature_3': 0.3590498555274235, 'feature_4': 5.5598271943543285}[0m
[32m2026-06-12 11:12:46.493[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.762357677860107, 'feature_1': 3.7119499643305454, 'feature_2': 8.858071926614043, 'feature_3': 0.3590498555274235, 'feature_4': 5.5598271943543285}[0m
[32m2026-06-12 11:12:46.494[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.762357677860107, 3.7119499643305454, 8.858071926614043, 0.3590498555274235, 5.5598271943543285], Scaled: [ 1.28951722 -0.40805537 1.39467064 -1.60948575 0.21529239][0m
[32m2026-06-12 11:12:46.495[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.06921868 0.93078132][0m
[32m2026-06-12 11:12:46.495[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:46.495[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.08 ms.[0m
[32m2026-06-12 11:12:46.495[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 93.08%)[0m
[32m2026-06-12 11:12:46.495[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 93.08%)[0m
[32m2026-06-12 11:12:46.528[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.5030203985958552, 'feature_1': 4.005065436172762, 'feature_2': 3.2083778069613498, 'feature_3': 0.6963399953863336, 'feature_4': 1.2795840368922373}[0m
[32m2026-06-12 11:12:46.529[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.5030203985958552, 'feature_1': 4.005065436172762, 'feature_2': 3.2083778069613498, 'feature_3': 0.6963399953863336, 'feature_4': 1.2795840368922373}[0m
[32m2026-06-12 11:12:46.529[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.5030203985958552, 4.005065436172762, 3.2083778069613498, 0.6963399953863336, 1.2795840368922373], Scaled: [-0.82605385 -0.31130693 -0.61638256 -1.4912352 -1.27741453][0m
[32m2026-06-12 11:12:46.535[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999875e-01 1.25061943e-07][0m
[32m2026-06-12 11:12:46.535[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.535[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.56 ms.[0m
[32m2026-06-12 11:12:46.535[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:46.535[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:46.597[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.122949370726726, 'feature_1': 7.575348793031202, 'feature_2': 4.380023138182148, 'feature_3': 2.534627695176032, 'feature_4': 3.636379430584543}[0m
[32m2026-06-12 11:12:46.597[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.122949370726726, 'feature_1': 7.575348793031202, 'feature_2': 4.380023138182148, 'feature_3': 2.534627695176032, 'feature_4': 3.636379430584543}[0m
[32m2026-06-12 11:12:46.598[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.122949370726726, 7.575348793031202, 4.380023138182148, 2.534627695176032, 3.636379430584543], Scaled: [ 0.73541946 0.86713427 -0.19932616 -0.84674993 -0.45549749][0m
[32m2026-06-12 11:12:46.605[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.43272709 0.56727291][0m
[32m2026-06-12 11:12:46.606[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:46.606[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.34 ms.[0m
[32m2026-06-12 11:12:46.606[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 56.73%)[0m
[32m2026-06-12 11:12:46.606[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 56.73%)[0m
[32m2026-06-12 11:12:46.633[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.479679687180349, 'feature_1': 3.5500870621088176, 'feature_2': 9.91476219655608, 'feature_3': 3.4345393372442445, 'feature_4': 3.5834381036465093}[0m
[32m2026-06-12 11:12:46.634[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.479679687180349, 'feature_1': 3.5500870621088176, 'feature_2': 9.91476219655608, 'feature_3': 3.4345393372442445, 'feature_4': 3.5834381036465093}[0m
[32m2026-06-12 11:12:46.635[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.479679687180349, 3.5500870621088176, 9.91476219655608, 3.4345393372442445, 3.5834381036465093], Scaled: [ 1.53196233 -0.46148135 1.77080788 -0.53124992 -0.47396043][0m
[32m2026-06-12 11:12:46.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00268174 0.99731826][0m
[32m2026-06-12 11:12:46.636[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:46.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.08 ms.[0m
[32m2026-06-12 11:12:46.636[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:12:46.636[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:12:46.666[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.833309563422439, 'feature_1': 4.26984241510956, 'feature_2': 2.414999800708589, 'feature_3': 2.6959598623115264, 'feature_4': 2.5874835902135285}[0m
[32m2026-06-12 11:12:46.666[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.833309563422439, 'feature_1': 4.26984241510956, 'feature_2': 2.414999800708589, 'feature_3': 2.6959598623115264, 'feature_4': 2.5874835902135285}[0m
[32m2026-06-12 11:12:46.668[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.833309563422439, 4.26984241510956, 2.414999800708589, 2.6959598623115264, 2.5874835902135285], Scaled: [ 0.63752514 -0.22391215 -0.89879172 -0.79018849 -0.82129308][0m
[32m2026-06-12 11:12:46.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99453003e-01 5.46996691e-04][0m
[32m2026-06-12 11:12:46.669[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.36 ms.[0m
[32m2026-06-12 11:12:46.669[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:46.669[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:46.701[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.0641194370109197, 'feature_1': 5.140442991895679, 'feature_2': 0.7605508681099016, 'feature_3': 9.01381517532435, 'feature_4': 8.947179760303769}[0m
[32m2026-06-12 11:12:46.702[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.0641194370109197, 'feature_1': 5.140442991895679, 'feature_2': 0.7605508681099016, 'feature_3': 9.01381517532435, 'feature_4': 8.947179760303769}[0m
[32m2026-06-12 11:12:46.702[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.0641194370109197, 5.140442991895679, 0.7605508681099016, 9.01381517532435, 8.947179760303769], Scaled: [-0.97439642 0.06344643 -1.48770587 1.42478835 1.39660953][0m
[32m2026-06-12 11:12:46.706[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.31221258 0.68778742][0m
[32m2026-06-12 11:12:46.706[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:46.706[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.68 ms.[0m
[32m2026-06-12 11:12:46.706[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 68.78%)[0m
[32m2026-06-12 11:12:46.706[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 68.78%)[0m
[32m2026-06-12 11:12:46.781[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.5505522817358663, 'feature_1': 6.673430495494076, 'feature_2': 6.568593656520658, 'feature_3': 7.918948138572681, 'feature_4': 8.327785292123876}[0m
[32m2026-06-12 11:12:46.782[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.5505522817358663, 'feature_1': 6.673430495494076, 'feature_2': 6.568593656520658, 'feature_3': 7.918948138572681, 'feature_4': 8.327785292123876}[0m
[32m2026-06-12 11:12:46.782[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.5505522817358663, 6.673430495494076, 6.568593656520658, 7.918948138572681, 8.327785292123876], Scaled: [-1.14797515 0.56943866 0.57971279 1.04093892 1.18059974][0m
[32m2026-06-12 11:12:46.790[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [8.25424472e-04 9.99174576e-01][0m
[32m2026-06-12 11:12:46.790[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:46.790[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.51 ms.[0m
[32m2026-06-12 11:12:46.790[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:12:46.790[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:12:46.852[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.3626861681656717, 'feature_1': 5.838497377872999, 'feature_2': 4.972822936255553, 'feature_3': 0.9297614071899019, 'feature_4': 5.900185738405447}[0m
[32m2026-06-12 11:12:46.853[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.3626861681656717, 'feature_1': 5.838497377872999, 'feature_2': 4.972822936255553, 'feature_3': 0.9297614071899019, 'feature_4': 5.900185738405447}[0m
[32m2026-06-12 11:12:46.853[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.3626861681656717, 5.838497377872999, 4.972822936255553, 0.9297614071899019, 5.900185738405447], Scaled: [-0.53549848 0.29385281 0.01168561 -1.40939999 0.33399021][0m
[32m2026-06-12 11:12:46.859[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99235285 0.00764715][0m
[32m2026-06-12 11:12:46.859[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:46.859[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.66 ms.[0m
[32m2026-06-12 11:12:46.859[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.24%)[0m
[32m2026-06-12 11:12:46.859[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.24%)[0m
[32m2026-06-12 11:12:46.937[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.036841785010055, 'feature_1': 4.7229835762565875, 'feature_2': 9.752913327168535, 'feature_3': 4.602578394331057, 'feature_4': 4.701250267257786}[0m
[32m2026-06-12 11:12:46.938[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.036841785010055, 'feature_1': 4.7229835762565875, 'feature_2': 9.752913327168535, 'feature_3': 4.602578394331057, 'feature_4': 4.701250267257786}[0m
[32m2026-06-12 11:12:46.939[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.036841785010055, 4.7229835762565875, 9.752913327168535, 4.602578394331057, 4.701250267257786], Scaled: [ 0.36832983 -0.07434413 1.7131965 -0.12174711 -0.08413072][0m
[32m2026-06-12 11:12:46.949[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00314111 0.99685889][0m
[32m2026-06-12 11:12:46.949[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:46.949[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 10.25 ms.[0m
[32m2026-06-12 11:12:46.949[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.69%)[0m
[32m2026-06-12 11:12:46.950[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.69%)[0m
[32m2026-06-12 11:12:47.025[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.954860476926124, 'feature_1': 3.3470084745235362, 'feature_2': 6.399269305551762, 'feature_3': 0.8072767282802551, 'feature_4': 3.0044594316746807}[0m
[32m2026-06-12 11:12:47.026[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.954860476926124, 'feature_1': 3.3470084745235362, 'feature_2': 6.399269305551762, 'feature_3': 0.8072767282802551, 'feature_4': 3.0044594316746807}[0m
[32m2026-06-12 11:12:47.027[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.954860476926124, 3.3470084745235362, 6.399269305551762, 0.8072767282802551, 3.0044594316746807], Scaled: [ 1.35458056 -0.52851137 0.51944045 -1.45234189 -0.67587547][0m
[32m2026-06-12 11:12:47.030[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.95425159 0.04574841][0m
[32m2026-06-12 11:12:47.030[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:47.030[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.13 ms.[0m
[32m2026-06-12 11:12:47.030[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 95.43%)[0m
[32m2026-06-12 11:12:47.030[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 95.43%)[0m
[32m2026-06-12 11:12:47.075[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.704933273677602, 'feature_1': 0.16506075197670778, 'feature_2': 0.15044047145406636, 'feature_3': 3.7908261999822845, 'feature_4': 0.5694155629879738}[0m
[32m2026-06-12 11:12:47.075[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.704933273677602, 'feature_1': 0.16506075197670778, 'feature_2': 0.15044047145406636, 'feature_3': 3.7908261999822845, 'feature_4': 0.5694155629879738}[0m
[32m2026-06-12 11:12:47.076[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.704933273677602, 0.16506075197670778, 0.15044047145406636, 3.7908261999822845, 0.5694155629879738], Scaled: [ 0.25614926 -1.57877487 -1.70487948 -0.40633931 -1.52508115][0m
[32m2026-06-12 11:12:47.077[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999978e-01 2.20230261e-08][0m
[32m2026-06-12 11:12:47.077[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:47.077[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.09 ms.[0m
[32m2026-06-12 11:12:47.077[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:47.077[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:47.145[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.271264255688026, 'feature_1': 4.358322368646343, 'feature_2': 6.07260871321275, 'feature_3': 8.432792884024906, 'feature_4': 7.854533179013239}[0m
[32m2026-06-12 11:12:47.145[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.271264255688026, 'feature_1': 4.358322368646343, 'feature_2': 6.07260871321275, 'feature_3': 8.432792884024906, 'feature_4': 7.854533179013239}[0m
[32m2026-06-12 11:12:47.146[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.271264255688026, 4.358322368646343, 6.07260871321275, 8.432792884024906, 7.854533179013239], Scaled: [ 0.10957502 -0.19470763 0.40316303 1.22108775 1.01555615][0m
[32m2026-06-12 11:12:47.156[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.89114859e-04 9.99710885e-01][0m
[32m2026-06-12 11:12:47.156[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.156[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.34 ms.[0m
[32m2026-06-12 11:12:47.156[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:47.156[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:47.227[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.614852364884866, 'feature_1': 7.338540860703848, 'feature_2': 1.8116401583424158, 'feature_3': 6.053745211901909, 'feature_4': 0.35482027842978936}[0m
[32m2026-06-12 11:12:47.227[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.614852364884866, 'feature_1': 7.338540860703848, 'feature_2': 1.8116401583424158, 'feature_3': 6.053745211901909, 'feature_4': 0.35482027842978936}[0m
[32m2026-06-12 11:12:47.228[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.614852364884866, 7.338540860703848, 1.8116401583424158, 6.053745211901909, 0.35482027842978936], Scaled: [ 1.57764886 0.78897122 -1.11356234 0.38701745 -1.59991986][0m
[32m2026-06-12 11:12:47.234[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.44964189 0.55035811][0m
[32m2026-06-12 11:12:47.234[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.234[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.36 ms.[0m
[32m2026-06-12 11:12:47.234[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 55.04%)[0m
[32m2026-06-12 11:12:47.234[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 55.04%)[0m
[32m2026-06-12 11:12:47.306[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9554506581286857, 'feature_1': 4.900843821903451, 'feature_2': 1.67240071431902, 'feature_3': 9.258953038048181, 'feature_4': 8.006902046016675}[0m
[32m2026-06-12 11:12:47.306[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9554506581286857, 'feature_1': 4.900843821903451, 'feature_2': 1.67240071431902, 'feature_3': 9.258953038048181, 'feature_4': 8.006902046016675}[0m
[32m2026-06-12 11:12:47.307[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9554506581286857, 4.900843821903451, 1.67240071431902, 9.258953038048181, 8.006902046016675], Scaled: [-0.67313856 -0.01563791 -1.16312572 1.51073123 1.0686938 ][0m
[32m2026-06-12 11:12:47.308[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.1337801 0.8662199][0m
[32m2026-06-12 11:12:47.314[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.315[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.24 ms.[0m
[32m2026-06-12 11:12:47.315[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 86.62%)[0m
[32m2026-06-12 11:12:47.315[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 86.62%)[0m
[32m2026-06-12 11:12:47.352[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.1676585620113422, 'feature_1': 6.0768013991889696, 'feature_2': 7.618298403298235, 'feature_3': 8.115950416995926, 'feature_4': 2.7220801380874757}[0m
[32m2026-06-12 11:12:47.352[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.1676585620113422, 'feature_1': 6.0768013991889696, 'feature_2': 7.618298403298235, 'feature_3': 8.115950416995926, 'feature_4': 2.7220801380874757}[0m
[32m2026-06-12 11:12:47.356[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.1676585620113422, 6.0768013991889696, 7.618298403298235, 8.115950416995926, 2.7220801380874757], Scaled: [-1.27738803 0.37250967 0.95336347 1.11000595 -0.77435341][0m
[32m2026-06-12 11:12:47.363[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.28083386 0.71916614][0m
[32m2026-06-12 11:12:47.363[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.363[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.56 ms.[0m
[32m2026-06-12 11:12:47.365[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 71.92%)[0m
[32m2026-06-12 11:12:47.366[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 71.92%)[0m
[32m2026-06-12 11:12:47.419[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.5934663716730546, 'feature_1': 7.678119203740195, 'feature_2': 5.588337047053385, 'feature_3': 9.094256586434582, 'feature_4': 7.630135388626292}[0m
[32m2026-06-12 11:12:47.420[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.5934663716730546, 'feature_1': 7.678119203740195, 'feature_2': 5.588337047053385, 'feature_3': 9.094256586434582, 'feature_4': 7.630135388626292}[0m
[32m2026-06-12 11:12:47.420[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.5934663716730546, 7.678119203740195, 5.588337047053385, 9.094256586434582, 7.630135388626292], Scaled: [-1.13347077 0.90105563 0.23078271 1.4529903 0.93729888][0m
[32m2026-06-12 11:12:47.424[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.21171166e-04 9.99578829e-01][0m
[32m2026-06-12 11:12:47.424[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.424[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.20 ms.[0m
[32m2026-06-12 11:12:47.424[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:12:47.424[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:12:47.500[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.056505711391478, 'feature_1': 2.0729838803471914, 'feature_2': 7.133915480990027, 'feature_3': 5.0860212679153225, 'feature_4': 8.4521987490302}[0m
[32m2026-06-12 11:12:47.501[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.056505711391478, 'feature_1': 2.0729838803471914, 'feature_2': 7.133915480990027, 'feature_3': 5.0860212679153225, 'feature_4': 8.4521987490302}[0m
[32m2026-06-12 11:12:47.501[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.056505711391478, 2.0729838803471914, 7.133915480990027, 5.0860212679153225, 8.4521987490302], Scaled: [ 0.03698954 -0.94902788 0.78094355 0.04774312 1.22398813][0m
[32m2026-06-12 11:12:47.504[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.04287612 0.95712388][0m
[32m2026-06-12 11:12:47.505[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.19 ms.[0m
[32m2026-06-12 11:12:47.505[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 95.71%)[0m
[32m2026-06-12 11:12:47.505[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 95.71%)[0m
[32m2026-06-12 11:12:47.543[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.2674937893820826, 'feature_1': 3.588579113866391, 'feature_2': 8.231808995103858, 'feature_3': 3.4705716905799844, 'feature_4': 9.773885019187444}[0m
[32m2026-06-12 11:12:47.544[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.2674937893820826, 'feature_1': 3.588579113866391, 'feature_2': 8.231808995103858, 'feature_3': 3.4705716905799844, 'feature_4': 9.773885019187444}[0m
[32m2026-06-12 11:12:47.544[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.2674937893820826, 3.588579113866391, 8.231808995103858, 3.4705716905799844, 9.773885019187444], Scaled: [-1.24364508 -0.44877631 1.17174741 -0.51861733 1.6849176 ][0m
[32m2026-06-12 11:12:47.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.197182 0.802818][0m
[32m2026-06-12 11:12:47.545[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.04 ms.[0m
[32m2026-06-12 11:12:47.546[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 80.28%)[0m
[32m2026-06-12 11:12:47.546[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 80.28%)[0m
[32m2026-06-12 11:12:47.616[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.4228684146509214, 'feature_1': 8.109470712957517, 'feature_2': 8.750493431636405, 'feature_3': 5.395578061126035, 'feature_4': 1.1445685503274095}[0m
[32m2026-06-12 11:12:47.617[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.4228684146509214, 'feature_1': 8.109470712957517, 'feature_2': 8.750493431636405, 'feature_3': 5.395578061126035, 'feature_4': 1.1445685503274095}[0m
[32m2026-06-12 11:12:47.617[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.4228684146509214, 8.109470712957517, 8.750493431636405, 5.395578061126035, 1.1445685503274095], Scaled: [-0.5151577 1.04343156 1.35637723 0.15627063 -1.3245003 ][0m
[32m2026-06-12 11:12:47.623[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.0838942 0.9161058][0m
[32m2026-06-12 11:12:47.623[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.623[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.34 ms.[0m
[32m2026-06-12 11:12:47.623[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 91.61%)[0m
[32m2026-06-12 11:12:47.623[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 91.61%)[0m
[32m2026-06-12 11:12:47.687[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.116470767288142, 'feature_1': 8.306979148600396, 'feature_2': 1.70103535828391, 'feature_3': 2.6061399486435866, 'feature_4': 5.799962069517014}[0m
[32m2026-06-12 11:12:47.687[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.116470767288142, 'feature_1': 8.306979148600396, 'feature_2': 1.70103535828391, 'feature_3': 2.6061399486435866, 'feature_4': 5.799962069517014}[0m
[32m2026-06-12 11:12:47.688[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.116470767288142, 8.306979148600396, 1.70103535828391, 2.6061399486435866, 5.799962069517014], Scaled: [ 0.73322978 1.10862304 -1.152933 -0.82167845 0.29903786][0m
[32m2026-06-12 11:12:47.689[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.38201914 0.61798086][0m
[32m2026-06-12 11:12:47.689[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.689[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:12:47.689[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 61.80%)[0m
[32m2026-06-12 11:12:47.689[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 61.80%)[0m
[32m2026-06-12 11:12:47.726[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.053720850045104, 'feature_1': 8.032406751131543, 'feature_2': 9.975959298149956, 'feature_3': 8.065578622634737, 'feature_4': 4.7651447490795595}[0m
[32m2026-06-12 11:12:47.726[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.053720850045104, 'feature_1': 8.032406751131543, 'feature_2': 9.975959298149956, 'feature_3': 8.065578622634737, 'feature_4': 4.7651447490795595}[0m
[32m2026-06-12 11:12:47.727[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.053720850045104, 8.032406751131543, 9.975959298149956, 8.065578622634737, 4.7651447490795595], Scaled: [-0.30193813 1.0179951 1.79259147 1.0923461 -0.06184794][0m
[32m2026-06-12 11:12:47.729[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.68362649e-06 9.99993316e-01][0m
[32m2026-06-12 11:12:47.729[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.729[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.16 ms.[0m
[32m2026-06-12 11:12:47.729[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:47.729[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:47.805[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.6867192087223515, 'feature_1': 0.7434807683676403, 'feature_2': 5.105720880181185, 'feature_3': 5.57936004727866, 'feature_4': 8.92400619472607}[0m
[32m2026-06-12 11:12:47.806[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.6867192087223515, 'feature_1': 0.7434807683676403, 'feature_2': 5.105720880181185, 'feature_3': 5.57936004727866, 'feature_4': 8.92400619472607}[0m
[32m2026-06-12 11:12:47.806[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.6867192087223515, 0.7434807683676403, 5.105720880181185, 5.57936004727866, 8.92400619472607], Scaled: [-0.08799328 -1.38785614 0.05899168 0.22070276 1.3885279 ][0m
[32m2026-06-12 11:12:47.808[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.57093966 0.42906034][0m
[32m2026-06-12 11:12:47.808[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:47.808[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.25 ms.[0m
[32m2026-06-12 11:12:47.808[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 57.09%)[0m
[32m2026-06-12 11:12:47.808[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 57.09%)[0m
[32m2026-06-12 11:12:47.860[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.978950191886276, 'feature_1': 5.883761304392521, 'feature_2': 3.39430422419982, 'feature_3': 1.4284878003801915, 'feature_4': 8.49358813869414}[0m
[32m2026-06-12 11:12:47.860[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.978950191886276, 'feature_1': 5.883761304392521, 'feature_2': 3.39430422419982, 'feature_3': 1.4284878003801915, 'feature_4': 8.49358813869414}[0m
[32m2026-06-12 11:12:47.864[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.978950191886276, 5.883761304392521, 3.39430422419982, 1.4284878003801915, 8.49358813869414], Scaled: [ 1.02473612 0.30879304 -0.55020058 -1.23455151 1.23842241][0m
[32m2026-06-12 11:12:47.865[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.08854496 0.91145504][0m
[32m2026-06-12 11:12:47.865[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.865[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.23 ms.[0m
[32m2026-06-12 11:12:47.865[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 91.15%)[0m
[32m2026-06-12 11:12:47.865[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 91.15%)[0m
[32m2026-06-12 11:12:47.939[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.314895093636608, 'feature_1': 0.8313051723493448, 'feature_2': 5.650355751816577, 'feature_3': 2.223574517491973, 'feature_4': 5.426091687877125}[0m
[32m2026-06-12 11:12:47.940[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.314895093636608, 'feature_1': 0.8313051723493448, 'feature_2': 5.650355751816577, 'feature_3': 2.223574517491973, 'feature_4': 5.426091687877125}[0m
[32m2026-06-12 11:12:47.940[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.314895093636608, 0.8313051723493448, 5.650355751816577, 2.223574517491973, 5.426091687877125], Scaled: [ 1.47626737 -1.35886799 0.25285876 -0.95580206 0.168653 ][0m
[32m2026-06-12 11:12:47.945[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.88994076 0.11005924][0m
[32m2026-06-12 11:12:47.946[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:47.946[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.02 ms.[0m
[32m2026-06-12 11:12:47.946[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 88.99%)[0m
[32m2026-06-12 11:12:47.946[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 88.99%)[0m
[32m2026-06-12 11:12:47.982[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.453603132612628, 'feature_1': 8.825499776760337, 'feature_2': 6.962430804435323, 'feature_3': 0.438595696427585, 'feature_4': 8.913154226028073}[0m
[32m2026-06-12 11:12:47.983[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.453603132612628, 'feature_1': 8.825499776760337, 'feature_2': 6.962430804435323, 'feature_3': 0.438595696427585, 'feature_4': 8.913154226028073}[0m
[32m2026-06-12 11:12:47.983[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.453603132612628, 8.825499776760337, 6.962430804435323, 0.438595696427585, 8.913154226028073], Scaled: [ 0.17120308 1.27977082 0.71990223 -1.58159777 1.38474335][0m
[32m2026-06-12 11:12:47.987[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00139662 0.99860338][0m
[32m2026-06-12 11:12:47.987[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:47.987[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.22 ms.[0m
[32m2026-06-12 11:12:47.987[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.86%)[0m
[32m2026-06-12 11:12:47.987[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.86%)[0m
[32m2026-06-12 11:12:48.037[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.356632198012533, 'feature_1': 5.493498254312633, 'feature_2': 7.627245402959446, 'feature_3': 2.9930749417378486, 'feature_4': 7.926650368530282}[0m
[32m2026-06-12 11:12:48.037[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.356632198012533, 'feature_1': 5.493498254312633, 'feature_2': 7.627245402959446, 'feature_3': 2.9930749417378486, 'feature_4': 7.926650368530282}[0m
[32m2026-06-12 11:12:48.041[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.356632198012533, 5.493498254312633, 7.627245402959446, 2.9930749417378486, 7.926650368530282], Scaled: [-0.87553107 0.17997916 0.95654823 -0.68602292 1.04070655][0m
[32m2026-06-12 11:12:48.049[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.17282462 0.82717538][0m
[32m2026-06-12 11:12:48.049[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.049[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.90 ms.[0m
[32m2026-06-12 11:12:48.049[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 82.72%)[0m
[32m2026-06-12 11:12:48.050[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 82.72%)[0m
[32m2026-06-12 11:12:48.088[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.534845727263668, 'feature_1': 0.511433388791408, 'feature_2': 8.470408792779198, 'feature_3': 9.0659119751499, 'feature_4': 8.721972890850688}[0m
[32m2026-06-12 11:12:48.089[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.534845727263668, 'feature_1': 0.511433388791408, 'feature_2': 8.470408792779198, 'feature_3': 9.0659119751499, 'feature_4': 8.721972890850688}[0m
[32m2026-06-12 11:12:48.089[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.534845727263668, 0.511433388791408, 8.470408792779198, 9.0659119751499, 8.721972890850688], Scaled: [-0.13932445 -1.46444787 1.25667889 1.44305296 1.3180701 ][0m
[32m2026-06-12 11:12:48.094[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.90916961e-04 9.99309083e-01][0m
[32m2026-06-12 11:12:48.094[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.094[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.38 ms.[0m
[32m2026-06-12 11:12:48.094[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.93%)[0m
[32m2026-06-12 11:12:48.094[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.93%)[0m
[32m2026-06-12 11:12:48.146[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.401510986256538, 'feature_1': 0.41780440447593326, 'feature_2': 8.377873218302131, 'feature_3': 3.760065257277593, 'feature_4': 0.7258686765203815}[0m
[32m2026-06-12 11:12:48.152[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.401510986256538, 'feature_1': 0.41780440447593326, 'feature_2': 8.377873218302131, 'feature_3': 3.760065257277593, 'feature_4': 0.7258686765203815}[0m
[32m2026-06-12 11:12:48.153[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.401510986256538, 0.41780440447593326, 8.377873218302131, 3.760065257277593, 0.7258686765203815], Scaled: [ 1.50554237 -1.49535193 1.22374012 -0.41712379 -1.47051915][0m
[32m2026-06-12 11:12:48.168[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.94152703 0.05847297][0m
[32m2026-06-12 11:12:48.169[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.169[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 15.46 ms.[0m
[32m2026-06-12 11:12:48.169[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 94.15%)[0m
[32m2026-06-12 11:12:48.169[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 94.15%)[0m
[32m2026-06-12 11:12:48.210[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.032892569485702, 'feature_1': 7.2599898183943985, 'feature_2': 0.11824964862755083, 'feature_3': 0.9555301981895892, 'feature_4': 6.612368423569283}[0m
[32m2026-06-12 11:12:48.211[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.032892569485702, 'feature_1': 7.2599898183943985, 'feature_2': 0.11824964862755083, 'feature_3': 0.9555301981895892, 'feature_4': 6.612368423569283}[0m
[32m2026-06-12 11:12:48.212[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.032892569485702, 7.2599898183943985, 0.11824964862755083, 0.9555301981895892, 6.612368423569283], Scaled: [ 0.36699505 0.76304393 -1.71633806 -1.40036571 0.58235929][0m
[32m2026-06-12 11:12:48.213[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99352024 0.00647976][0m
[32m2026-06-12 11:12:48.213[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.213[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.96 ms.[0m
[32m2026-06-12 11:12:48.213[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.35%)[0m
[32m2026-06-12 11:12:48.213[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.35%)[0m
[32m2026-06-12 11:12:48.271[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.121611569886767, 'feature_1': 8.42509502933789, 'feature_2': 9.410179632697295, 'feature_3': 7.8683954367292746, 'feature_4': 5.847380455893376}[0m
[32m2026-06-12 11:12:48.271[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.121611569886767, 'feature_1': 8.42509502933789, 'feature_2': 9.410179632697295, 'feature_3': 7.8683954367292746, 'feature_4': 5.847380455893376}[0m
[32m2026-06-12 11:12:48.272[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.121611569886767, 8.42509502933789, 9.410179632697295, 7.8683954367292746, 5.847380455893376], Scaled: [0.39698087 1.14760948 1.59119773 1.02321565 0.31557472][0m
[32m2026-06-12 11:12:48.279[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.57731080e-07 9.99999742e-01][0m
[32m2026-06-12 11:12:48.280[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.280[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.13 ms.[0m
[32m2026-06-12 11:12:48.280[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:48.280[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:48.354[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.995688138195211, 'feature_1': 1.9369693258427534, 'feature_2': 4.9276685869632235, 'feature_3': 0.8952676414775118, 'feature_4': 7.162196868031289}[0m
[32m2026-06-12 11:12:48.354[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.995688138195211, 'feature_1': 1.9369693258427534, 'feature_2': 4.9276685869632235, 'feature_3': 0.8952676414775118, 'feature_4': 7.162196868031289}[0m
[32m2026-06-12 11:12:48.355[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.995688138195211, 1.9369693258427534, 4.9276685869632235, 0.8952676414775118, 7.162196868031289], Scaled: [-0.3215524 -0.99392211 -0.00438744 -1.42149316 0.77410837][0m
[32m2026-06-12 11:12:48.358[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99446009e-01 5.53990824e-04][0m
[32m2026-06-12 11:12:48.358[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.358[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.70 ms.[0m
[32m2026-06-12 11:12:48.358[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:48.358[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:48.429[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.3711374512209453, 'feature_1': 8.603115721300625, 'feature_2': 7.719069146982161, 'feature_3': 4.792821028588171, 'feature_4': 9.75097293624157}[0m
[32m2026-06-12 11:12:48.430[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.3711374512209453, 'feature_1': 8.603115721300625, 'feature_2': 7.719069146982161, 'feature_3': 4.792821028588171, 'feature_4': 9.75097293624157}[0m
[32m2026-06-12 11:12:48.430[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.3711374512209453, 8.603115721300625, 7.719069146982161, 4.792821028588171, 9.75097293624157], Scaled: [-1.54660136 1.20636865 0.98923361 -0.05504995 1.67692716][0m
[32m2026-06-12 11:12:48.437[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.29200611e-04 9.99370799e-01][0m
[32m2026-06-12 11:12:48.437[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.437[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.28 ms.[0m
[32m2026-06-12 11:12:48.437[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:48.437[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:48.494[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.346944203031537, 'feature_1': 2.7885190997769937, 'feature_2': 1.4196814209510378, 'feature_3': 8.327205355338982, 'feature_4': 9.469788172849057}[0m
[32m2026-06-12 11:12:48.495[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.346944203031537, 'feature_1': 2.7885190997769937, 'feature_2': 1.4196814209510378, 'feature_3': 8.327205355338982, 'feature_4': 9.469788172849057}[0m
[32m2026-06-12 11:12:48.495[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.346944203031537, 2.7885190997769937, 1.4196814209510378, 8.327205355338982, 9.469788172849057], Scaled: [ 1.48709954 -0.71285161 -1.25308315 1.18406982 1.57886581][0m
[32m2026-06-12 11:12:48.501[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [7.91246767e-04 9.99208753e-01][0m
[32m2026-06-12 11:12:48.501[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.501[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.35 ms.[0m
[32m2026-06-12 11:12:48.501[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:12:48.501[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:12:48.561[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.6125783972398, 'feature_1': 7.850603335441283, 'feature_2': 0.8356299007019807, 'feature_3': 8.316316257166111, 'feature_4': 4.722283223663464}[0m
[32m2026-06-12 11:12:48.561[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.6125783972398, 'feature_1': 7.850603335441283, 'feature_2': 0.8356299007019807, 'feature_3': 8.316316257166111, 'feature_4': 4.722283223663464}[0m
[32m2026-06-12 11:12:48.562[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.6125783972398, 7.850603335441283, 0.8356299007019807, 8.316316257166111, 4.722283223663464], Scaled: [ 1.57688029 0.95798736 -1.4609809 1.18025221 -0.07679561][0m
[32m2026-06-12 11:12:48.563[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.16032966e-04 9.99383967e-01][0m
[32m2026-06-12 11:12:48.563[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.563[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.49 ms.[0m
[32m2026-06-12 11:12:48.563[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:48.563[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:48.625[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.6475250833073694, 'feature_1': 7.653878972988472, 'feature_2': 2.944380738725018, 'feature_3': 5.6347575781177826, 'feature_4': 4.641269909507106}[0m
[32m2026-06-12 11:12:48.626[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.6475250833073694, 'feature_1': 7.653878972988472, 'feature_2': 2.944380738725018, 'feature_3': 5.6347575781177826, 'feature_4': 4.641269909507106}[0m
[32m2026-06-12 11:12:48.627[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.6475250833073694, 7.653878972988472, 2.944380738725018, 5.6347575781177826, 4.641269909507106], Scaled: [-0.77721322 0.89305467 -0.7103544 0.24012458 -0.10504848][0m
[32m2026-06-12 11:12:48.632[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.8605168 0.1394832][0m
[32m2026-06-12 11:12:48.632[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.632[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.24 ms.[0m
[32m2026-06-12 11:12:48.632[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 86.05%)[0m
[32m2026-06-12 11:12:48.632[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 86.05%)[0m
[32m2026-06-12 11:12:48.664[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.816123601359731, 'feature_1': 2.98574642978103, 'feature_2': 2.0133980018318907, 'feature_3': 7.802417974805918, 'feature_4': 9.463498060728249}[0m
[32m2026-06-12 11:12:48.664[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.816123601359731, 'feature_1': 2.98574642978103, 'feature_2': 2.0133980018318907, 'feature_3': 7.802417974805918, 'feature_4': 9.463498060728249}[0m
[32m2026-06-12 11:12:48.665[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.816123601359731, 2.98574642978103, 2.0133980018318907, 7.802417974805918, 9.463498060728249], Scaled: [-0.72022921 -0.64775291 -1.04174505 1.00008461 1.57667217][0m
[32m2026-06-12 11:12:48.666[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.56524098 0.43475902][0m
[32m2026-06-12 11:12:48.669[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.11 ms.[0m
[32m2026-06-12 11:12:48.670[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 56.52%)[0m
[32m2026-06-12 11:12:48.670[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 56.52%)[0m
[32m2026-06-12 11:12:48.725[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.951930110539012, 'feature_1': 6.68722771770618, 'feature_2': 9.870144657838818, 'feature_3': 8.67715105806523, 'feature_4': 2.191314370075009}[0m
[32m2026-06-12 11:12:48.725[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.951930110539012, 'feature_1': 6.68722771770618, 'feature_2': 9.870144657838818, 'feature_3': 8.67715105806523, 'feature_4': 2.191314370075009}[0m
[32m2026-06-12 11:12:48.726[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.951930110539012, 6.68722771770618, 9.870144657838818, 8.67715105806523, 2.191314370075009], Scaled: [ 1.35359013 0.5739927 1.75492591 1.30675728 -0.95945451][0m
[32m2026-06-12 11:12:48.732[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.12376446e-06 9.99998876e-01][0m
[32m2026-06-12 11:12:48.732[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.732[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.27 ms.[0m
[32m2026-06-12 11:12:48.732[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:48.732[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:48.785[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.672445704319008, 'feature_1': 0.4591019774210847, 'feature_2': 6.725857551050068, 'feature_3': 3.2649024368910338, 'feature_4': 1.5192366005037339}[0m
[32m2026-06-12 11:12:48.785[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.672445704319008, 'feature_1': 0.4591019774210847, 'feature_2': 6.725857551050068, 'feature_3': 3.2649024368910338, 'feature_4': 1.5192366005037339}[0m
[32m2026-06-12 11:12:48.786[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.672445704319008, 0.4591019774210847, 6.725857551050068, 3.2649024368910338, 1.5192366005037339], Scaled: [ 0.2451689 -1.48172086 0.63569211 -0.59072292 -1.19383726][0m
[32m2026-06-12 11:12:48.792[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99853569e-01 1.46431081e-04][0m
[32m2026-06-12 11:12:48.792[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.792[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.41 ms.[0m
[32m2026-06-12 11:12:48.792[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:48.792[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:48.824[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.4318026754150077, 'feature_1': 4.044654137361919, 'feature_2': 3.640405305745489, 'feature_3': 3.8603085472309995, 'feature_4': 4.484134252791666}[0m
[32m2026-06-12 11:12:48.825[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.4318026754150077, 'feature_1': 4.044654137361919, 'feature_2': 3.640405305745489, 'feature_3': 3.8603085472309995, 'feature_4': 4.484134252791666}[0m
[32m2026-06-12 11:12:48.825[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.4318026754150077, 4.044654137361919, 3.640405305745489, 3.8603085472309995, 4.484134252791666], Scaled: [-0.85012447 -0.29823991 -0.46259896 -0.38197949 -0.15984852][0m
[32m2026-06-12 11:12:48.829[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99635903e-01 3.64097405e-04][0m
[32m2026-06-12 11:12:48.829[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.829[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.33 ms.[0m
[32m2026-06-12 11:12:48.829[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:12:48.829[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:12:48.883[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.16863216385714, 'feature_1': 5.471032998944211, 'feature_2': 2.8836823279603054, 'feature_3': 1.5146237729070366, 'feature_4': 6.2539469960207414}[0m
[32m2026-06-12 11:12:48.883[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.16863216385714, 'feature_1': 5.471032998944211, 'feature_2': 2.8836823279603054, 'feature_3': 1.5146237729070366, 'feature_4': 6.2539469960207414}[0m
[32m2026-06-12 11:12:48.884[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.16863216385714, 5.471032998944211, 2.8836823279603054, 1.5146237729070366, 6.2539469960207414], Scaled: [ 0.41287319 0.17256407 -0.73196048 -1.2043531 0.45736215][0m
[32m2026-06-12 11:12:48.889[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.96856022 0.03143978][0m
[32m2026-06-12 11:12:48.889[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.889[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.31 ms.[0m
[32m2026-06-12 11:12:48.889[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 96.86%)[0m
[32m2026-06-12 11:12:48.889[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 96.86%)[0m
[32m2026-06-12 11:12:48.921[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.169797158480983, 'feature_1': 4.324864118416485, 'feature_2': 7.086159840401392, 'feature_3': 8.28323545268317, 'feature_4': 5.136071177516622}[0m
[32m2026-06-12 11:12:48.921[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.169797158480983, 'feature_1': 4.324864118416485, 'feature_2': 7.086159840401392, 'feature_3': 8.28323545268317, 'feature_4': 5.136071177516622}[0m
[32m2026-06-12 11:12:48.922[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.169797158480983, 4.324864118416485, 7.086159840401392, 8.28323545268317, 5.136071177516622], Scaled: [ 0.07528051 -0.20575117 0.76394455 1.16865441 0.06751024][0m
[32m2026-06-12 11:12:48.926[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00274527 0.99725473][0m
[32m2026-06-12 11:12:48.926[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:48.926[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.52 ms.[0m
[32m2026-06-12 11:12:48.927[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:12:48.927[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:12:48.991[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.08623653973152, 'feature_1': 3.0402008045998175, 'feature_2': 4.151421792851676, 'feature_3': 0.8906672808989624, 'feature_4': 4.855197874573421}[0m
[32m2026-06-12 11:12:48.991[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.08623653973152, 'feature_1': 3.0402008045998175, 'feature_2': 4.151421792851676, 'feature_3': 0.8906672808989624, 'feature_4': 4.855197874573421}[0m
[32m2026-06-12 11:12:48.992[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.08623653973152, 3.0402008045998175, 4.151421792851676, 0.8906672808989624, 4.855197874573421], Scaled: [ 1.06099745 -0.62977919 -0.28069861 -1.423106 -0.0304425 ][0m
[32m2026-06-12 11:12:48.993[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99286022 0.00713978][0m
[32m2026-06-12 11:12:48.997[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:48.997[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.12 ms.[0m
[32m2026-06-12 11:12:48.998[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.29%)[0m
[32m2026-06-12 11:12:48.998[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.29%)[0m
[32m2026-06-12 11:12:49.071[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.0202731932773887, 'feature_1': 3.3375187589453734, 'feature_2': 0.41448185476000265, 'feature_3': 2.6469142667078325, 'feature_4': 7.215110737614539}[0m
[32m2026-06-12 11:12:49.071[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.0202731932773887, 'feature_1': 3.3375187589453734, 'feature_2': 0.41448185476000265, 'feature_3': 2.6469142667078325, 'feature_4': 7.215110737614539}[0m
[32m2026-06-12 11:12:49.072[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.0202731932773887, 3.3375187589453734, 0.41448185476000265, 2.6469142667078325, 7.215110737614539], Scaled: [-0.98921585 -0.53164364 -1.61089187 -0.80738338 0.79256174][0m
[32m2026-06-12 11:12:49.079[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99989664e-01 1.03364179e-05][0m
[32m2026-06-12 11:12:49.082[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:49.082[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 10.44 ms.[0m
[32m2026-06-12 11:12:49.083[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.083[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.146[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.3412043573790702, 'feature_1': 5.547421632967754, 'feature_2': 2.3747237713522207, 'feature_3': 7.6086031183961484, 'feature_4': 8.950806629706227}[0m
[32m2026-06-12 11:12:49.147[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.3412043573790702, 'feature_1': 5.547421632967754, 'feature_2': 2.3747237713522207, 'feature_3': 7.6086031183961484, 'feature_4': 8.950806629706227}[0m
[32m2026-06-12 11:12:49.147[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.3412043573790702, 5.547421632967754, 2.3747237713522207, 7.6086031183961484, 8.950806629706227], Scaled: [-1.55671834 0.19777762 -0.91312829 0.93213507 1.39787438][0m
[32m2026-06-12 11:12:49.162[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.61326932 0.38673068][0m
[32m2026-06-12 11:12:49.162[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:49.162[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 14.75 ms.[0m
[32m2026-06-12 11:12:49.162[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 61.33%)[0m
[32m2026-06-12 11:12:49.162[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 61.33%)[0m
[32m2026-06-12 11:12:49.196[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.723444400698276, 'feature_1': 3.4217398652809097, 'feature_2': 9.576593900985692, 'feature_3': 4.903511985017044, 'feature_4': 4.822504568982687}[0m
[32m2026-06-12 11:12:49.196[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.723444400698276, 'feature_1': 3.4217398652809097, 'feature_2': 9.576593900985692, 'feature_3': 4.903511985017044, 'feature_4': 4.822504568982687}[0m
[32m2026-06-12 11:12:49.197[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.723444400698276, 3.4217398652809097, 9.576593900985692, 4.903511985017044, 4.822504568982687], Scaled: [ 0.93837863 -0.50384483 1.65043421 -0.01624281 -0.04184407][0m
[32m2026-06-12 11:12:49.198[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00156454 0.99843546][0m
[32m2026-06-12 11:12:49.198[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.198[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.94 ms.[0m
[32m2026-06-12 11:12:49.198[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.84%)[0m
[32m2026-06-12 11:12:49.198[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.84%)[0m
[32m2026-06-12 11:12:49.230[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.493051057419406, 'feature_1': 7.437511755235376, 'feature_2': 0.9640000365519852, 'feature_3': 8.14442307015095, 'feature_4': 1.5628236806203288}[0m
[32m2026-06-12 11:12:49.231[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.493051057419406, 'feature_1': 7.437511755235376, 'feature_2': 0.9640000365519852, 'feature_3': 8.14442307015095, 'feature_4': 1.5628236806203288}[0m
[32m2026-06-12 11:12:49.231[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.493051057419406, 7.437511755235376, 0.9640000365519852, 8.14442307015095, 1.5628236806203288], Scaled: [ 1.53648167 0.82163848 -1.41528653 1.11998818 -1.17863655][0m
[32m2026-06-12 11:12:49.236[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.04568528 0.95431472][0m
[32m2026-06-12 11:12:49.236[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.236[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.25 ms.[0m
[32m2026-06-12 11:12:49.236[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 95.43%)[0m
[32m2026-06-12 11:12:49.236[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 95.43%)[0m
[32m2026-06-12 11:12:49.297[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.234447118285612, 'feature_1': 8.149880150592582, 'feature_2': 4.38631306142017, 'feature_3': 8.741533970016409, 'feature_4': 9.166932897982282}[0m
[32m2026-06-12 11:12:49.297[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.234447118285612, 'feature_1': 8.149880150592582, 'feature_2': 4.38631306142017, 'feature_3': 8.741533970016409, 'feature_4': 9.166932897982282}[0m
[32m2026-06-12 11:12:49.298[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.234447118285612, 8.149880150592582, 4.38631306142017, 8.741533970016409, 9.166932897982282], Scaled: [ 1.44907705 1.05676947 -0.19708721 1.32932928 1.473247 ][0m
[32m2026-06-12 11:12:49.299[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.10100267e-08 9.99999969e-01][0m
[32m2026-06-12 11:12:49.299[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.299[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.98 ms.[0m
[32m2026-06-12 11:12:49.299[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.299[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.359[0m | [1mINFO [0m | [36m__main__[0m:[36m<cell line: 0>[0m:[36m26[0m - [1mProcessed 100 data points.[0m
[32m2026-06-12 11:12:49.359[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.444362659362211, 'feature_1': 7.6179422075684755, 'feature_2': 4.9653648737361085, 'feature_3': 2.834733128476996, 'feature_4': 0.6263249979358831}[0m
[32m2026-06-12 11:12:49.360[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.444362659362211, 'feature_1': 7.6179422075684755, 'feature_2': 4.9653648737361085, 'feature_3': 2.834733128476996, 'feature_4': 0.6263249979358831}[0m
[32m2026-06-12 11:12:49.360[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.444362659362211, 7.6179422075684755, 4.9653648737361085, 2.834733128476996, 0.6263249979358831], Scaled: [-0.1699065 0.88119305 0.00903085 -0.74153597 -1.50523436][0m
[32m2026-06-12 11:12:49.364[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99485516 0.00514484][0m
[32m2026-06-12 11:12:49.364[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:49.364[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.32 ms.[0m
[32m2026-06-12 11:12:49.364[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.49%)[0m
[32m2026-06-12 11:12:49.364[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.49%)[0m
[32m2026-06-12 11:12:49.413[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.239721869963572, 'feature_1': 7.317479076990031, 'feature_2': 4.2665337969953745, 'feature_3': 6.908646435687642, 'feature_4': 4.9630246578186075}[0m
[32m2026-06-12 11:12:49.414[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.239721869963572, 'feature_1': 7.317479076990031, 'feature_2': 4.2665337969953745, 'feature_3': 6.908646435687642, 'feature_4': 4.9630246578186075}[0m
[32m2026-06-12 11:12:49.414[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.239721869963572, 7.317479076990031, 4.2665337969953745, 6.908646435687642, 4.9630246578186075], Scaled: [-0.57705874 0.78201937 -0.23972358 0.68673726 0.00716139][0m
[32m2026-06-12 11:12:49.417[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.12179395 0.87820605][0m
[32m2026-06-12 11:12:49.417[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.417[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.59 ms.[0m
[32m2026-06-12 11:12:49.417[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 87.82%)[0m
[32m2026-06-12 11:12:49.417[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 87.82%)[0m
[32m2026-06-12 11:12:49.466[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.049906014571047, 'feature_1': 5.20115799486006, 'feature_2': 9.000599922134679, 'feature_3': 8.906354581093588, 'feature_4': 5.133326540972535}[0m
[32m2026-06-12 11:12:49.466[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.049906014571047, 'feature_1': 5.20115799486006, 'feature_2': 9.000599922134679, 'feature_3': 8.906354581093588, 'feature_4': 5.133326540972535}[0m
[32m2026-06-12 11:12:49.467[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.049906014571047, 5.20115799486006, 9.000599922134679, 8.906354581093588, 5.133326540972535], Scaled: [-0.3032275 0.0834866 1.4454046 1.38711374 0.06655307][0m
[32m2026-06-12 11:12:49.472[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.65275823e-04 9.99834724e-01][0m
[32m2026-06-12 11:12:49.472[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.472[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.09 ms.[0m
[32m2026-06-12 11:12:49.473[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:49.473[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:49.528[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.690505925822245, 'feature_1': 5.1920221071106365, 'feature_2': 5.015527139605921, 'feature_3': 6.435621910183796, 'feature_4': 8.454606270859799}[0m
[32m2026-06-12 11:12:49.528[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.690505925822245, 'feature_1': 5.1920221071106365, 'feature_2': 5.015527139605921, 'feature_3': 6.435621910183796, 'feature_4': 8.454606270859799}[0m
[32m2026-06-12 11:12:49.529[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.690505925822245, 5.1920221071106365, 5.015527139605921, 6.435621910183796, 8.454606270859799], Scaled: [-0.08671342 0.08047112 0.02688651 0.52089959 1.22482773][0m
[32m2026-06-12 11:12:49.536[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00407171 0.99592829][0m
[32m2026-06-12 11:12:49.536[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.536[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.29 ms.[0m
[32m2026-06-12 11:12:49.536[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.59%)[0m
[32m2026-06-12 11:12:49.536[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.59%)[0m
[32m2026-06-12 11:12:49.597[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.2676271514541435, 'feature_1': 9.536698453890018, 'feature_2': 1.246244717830981, 'feature_3': 4.6348080412581325, 'feature_4': 5.033723393860633}[0m
[32m2026-06-12 11:12:49.597[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.2676271514541435, 'feature_1': 9.536698453890018, 'feature_2': 1.246244717830981, 'feature_3': 4.6348080412581325, 'feature_4': 5.033723393860633}[0m
[32m2026-06-12 11:12:49.598[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.2676271514541435, 9.536698453890018, 1.246244717830981, 4.6348080412581325, 5.033723393860633], Scaled: [ 0.44633216 1.51451572 -1.31481931 -0.11044772 0.03181712][0m
[32m2026-06-12 11:12:49.599[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.12445492 0.87554508][0m
[32m2026-06-12 11:12:49.604[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.605[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.15 ms.[0m
[32m2026-06-12 11:12:49.605[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 87.55%)[0m
[32m2026-06-12 11:12:49.605[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 87.55%)[0m
[32m2026-06-12 11:12:49.670[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.453410158729366, 'feature_1': 4.207869215713948, 'feature_2': 1.9628731416228162, 'feature_3': 2.64278217750776, 'feature_4': 0.11014420523363433}[0m
[32m2026-06-12 11:12:49.671[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.453410158729366, 'feature_1': 4.207869215713948, 'feature_2': 1.9628731416228162, 'feature_3': 2.64278217750776, 'feature_4': 0.11014420523363433}[0m
[32m2026-06-12 11:12:49.671[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.453410158729366, 4.207869215713948, 1.9628731416228162, 2.64278217750776, 0.11014420523363433], Scaled: [ 0.84711072 -0.24436761 -1.05972977 -0.80883205 -1.68524905][0m
[32m2026-06-12 11:12:49.674[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99967535e-01 3.24652568e-05][0m
[32m2026-06-12 11:12:49.675[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:49.675[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.27 ms.[0m
[32m2026-06-12 11:12:49.675[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.675[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.717[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.072581382200013, 'feature_1': 1.276642548836291, 'feature_2': 7.78136174655166, 'feature_3': 8.383684015979854, 'feature_4': 0.628558913095032}[0m
[32m2026-06-12 11:12:49.717[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.072581382200013, 'feature_1': 1.276642548836291, 'feature_2': 7.78136174655166, 'feature_3': 8.383684015979854, 'feature_4': 0.628558913095032}[0m
[32m2026-06-12 11:12:49.718[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.072581382200013, 1.276642548836291, 7.78136174655166, 8.383684015979854, 0.628558913095032], Scaled: [-1.30952282 -1.21187576 1.01140716 1.20387067 -1.5044553 ][0m
[32m2026-06-12 11:12:49.719[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99012828e-01 9.87172327e-04][0m
[32m2026-06-12 11:12:49.719[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:49.719[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.97 ms.[0m
[32m2026-06-12 11:12:49.726[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:49.726[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:49.755[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.864402177871495, 'feature_1': 6.498215535082162, 'feature_2': 6.8342967813398765, 'feature_3': 7.642165878746473, 'feature_4': 8.580242368088783}[0m
[32m2026-06-12 11:12:49.756[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.864402177871495, 'feature_1': 6.498215535082162, 'feature_2': 6.8342967813398765, 'feature_3': 7.642165878746473, 'feature_4': 8.580242368088783}[0m
[32m2026-06-12 11:12:49.756[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.864402177871495, 6.498215535082162, 6.8342967813398765, 7.642165878746473, 8.580242368088783], Scaled: [-1.37988457 0.51160557 0.67429191 0.94390183 1.2686425 ][0m
[32m2026-06-12 11:12:49.761[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00172815 0.99827185][0m
[32m2026-06-12 11:12:49.762[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.762[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.14 ms.[0m
[32m2026-06-12 11:12:49.762[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:12:49.762[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:12:49.813[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.51632361460582, 'feature_1': 3.1370806155437894, 'feature_2': 1.7391777236340955, 'feature_3': 3.2660864400540146, 'feature_4': 0.3875413468950639}[0m
[32m2026-06-12 11:12:49.814[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.51632361460582, 'feature_1': 3.1370806155437894, 'feature_2': 1.7391777236340955, 'feature_3': 3.2660864400540146, 'feature_4': 0.3875413468950639}[0m
[32m2026-06-12 11:12:49.815[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.51632361460582, 3.1370806155437894, 1.7391777236340955, 3.2660864400540146, 0.3875413468950639], Scaled: [ 0.86837462 -0.59780213 -1.13935592 -0.59030782 -1.5885086 ][0m
[32m2026-06-12 11:12:49.822[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99979006e-01 2.09937761e-05][0m
[32m2026-06-12 11:12:49.822[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:49.822[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.29 ms.[0m
[32m2026-06-12 11:12:49.822[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.822[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.873[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.767688264167019, 'feature_1': 9.325010907117587, 'feature_2': 8.082200183203605, 'feature_3': 7.559265224484242, 'feature_4': 5.141518239849451}[0m
[32m2026-06-12 11:12:49.873[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.767688264167019, 'feature_1': 9.325010907117587, 'feature_2': 8.082200183203605, 'feature_3': 7.559265224484242, 'feature_4': 5.141518239849451}[0m
[32m2026-06-12 11:12:49.874[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.767688264167019, 9.325010907117587, 8.082200183203605, 7.559265224484242, 5.141518239849451], Scaled: [0.2773596 1.44464415 1.11849297 0.91483769 0.06940987][0m
[32m2026-06-12 11:12:49.875[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.16507768e-06 9.99997835e-01][0m
[32m2026-06-12 11:12:49.875[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.880[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.42 ms.[0m
[32m2026-06-12 11:12:49.880[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.880[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.924[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.4014217842884875, 'feature_1': 9.046577465437593, 'feature_2': 8.073796897194923, 'feature_3': 3.7043114402009314, 'feature_4': 4.247482813011471}[0m
[32m2026-06-12 11:12:49.925[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.4014217842884875, 'feature_1': 9.046577465437593, 'feature_2': 8.073796897194923, 'feature_3': 3.7043114402009314, 'feature_4': 4.247482813011471}[0m
[32m2026-06-12 11:12:49.925[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.4014217842884875, 9.046577465437593, 8.073796897194923, 3.7043114402009314, 4.247482813011471], Scaled: [-0.8603928 1.35274179 1.11550176 -0.43667052 -0.24237916][0m
[32m2026-06-12 11:12:49.932[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.04423044 0.95576956][0m
[32m2026-06-12 11:12:49.932[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.932[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.22 ms.[0m
[32m2026-06-12 11:12:49.932[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 95.58%)[0m
[32m2026-06-12 11:12:49.932[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 95.58%)[0m
[32m2026-06-12 11:12:49.986[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.717388844651602, 'feature_1': 7.89546777507442, 'feature_2': 8.726372376920839, 'feature_3': 9.634359039668773, 'feature_4': 0.5686368724464264}[0m
[32m2026-06-12 11:12:49.987[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.717388844651602, 'feature_1': 7.89546777507442, 'feature_2': 8.726372376920839, 'feature_3': 9.634359039668773, 'feature_4': 0.5686368724464264}[0m
[32m2026-06-12 11:12:49.987[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.717388844651602, 7.89546777507442, 8.726372376920839, 9.634359039668773, 0.5686368724464264], Scaled: [ 1.27431837 0.97279574 1.34779115 1.64234482 -1.52535272][0m
[32m2026-06-12 11:12:49.992[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.87236612e-06 9.99997128e-01][0m
[32m2026-06-12 11:12:49.993[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:49.993[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.21 ms.[0m
[32m2026-06-12 11:12:49.993[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:49.993[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.048[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.6173571701077005, 'feature_1': 8.838469427524366, 'feature_2': 8.927331530793538, 'feature_3': 8.118270763885139, 'feature_4': 9.724499447755813}[0m
[32m2026-06-12 11:12:50.049[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.6173571701077005, 'feature_1': 8.838469427524366, 'feature_2': 8.927331530793538, 'feature_3': 8.118270763885139, 'feature_4': 9.724499447755813}[0m
[32m2026-06-12 11:12:50.051[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.6173571701077005, 8.838469427524366, 8.927331530793538, 8.118270763885139, 9.724499447755813], Scaled: [0.90252259 1.2840517 1.41932414 1.11081944 1.66769471][0m
[32m2026-06-12 11:12:50.055[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.97368582e-10 1.00000000e+00][0m
[32m2026-06-12 11:12:50.055[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:50.055[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.73 ms.[0m
[32m2026-06-12 11:12:50.055[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.055[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.118[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.845850902479766, 'feature_1': 0.013966518717930532, 'feature_2': 2.915641642096735, 'feature_3': 1.2849915622618346, 'feature_4': 8.055702298337238}[0m
[32m2026-06-12 11:12:50.118[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.845850902479766, 'feature_1': 0.013966518717930532, 'feature_2': 2.915641642096735, 'feature_3': 1.2849915622618346, 'feature_4': 8.055702298337238}[0m
[32m2026-06-12 11:12:50.121[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.845850902479766, 0.013966518717930532, 2.915641642096735, 1.2849915622618346, 8.055702298337238], Scaled: [ 1.65572323 -1.62864645 -0.72058431 -1.28485985 1.08571257][0m
[32m2026-06-12 11:12:50.122[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97939543 0.02060457][0m
[32m2026-06-12 11:12:50.122[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.122[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.08 ms.[0m
[32m2026-06-12 11:12:50.122[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.94%)[0m
[32m2026-06-12 11:12:50.122[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.94%)[0m
[32m2026-06-12 11:12:50.173[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.6785364194290073, 'feature_1': 1.6476378237101263, 'feature_2': 2.5669335836205196, 'feature_3': 8.02032024725653, 'feature_4': 5.380175221584553}[0m
[32m2026-06-12 11:12:50.173[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.6785364194290073, 'feature_1': 1.6476378237101263, 'feature_2': 2.5669335836205196, 'feature_3': 8.02032024725653, 'feature_4': 5.380175221584553}[0m
[32m2026-06-12 11:12:50.174[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.6785364194290073, 1.6476378237101263, 2.5669335836205196, 8.02032024725653, 5.380175221584553], Scaled: [-0.76673181 -1.08942158 -0.84470969 1.07647897 0.15263993][0m
[32m2026-06-12 11:12:50.184[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.997125 0.002875][0m
[32m2026-06-12 11:12:50.188[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.188[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.22 ms.[0m
[32m2026-06-12 11:12:50.188[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.71%)[0m
[32m2026-06-12 11:12:50.188[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.71%)[0m
[32m2026-06-12 11:12:50.222[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.048469753731823, 'feature_1': 7.530843816929902, 'feature_2': 0.23771247849533883, 'feature_3': 7.993346770416051, 'feature_4': 6.049485146643219}[0m
[32m2026-06-12 11:12:50.223[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.048469753731823, 'feature_1': 7.530843816929902, 'feature_2': 0.23771247849533883, 'feature_3': 7.993346770416051, 'feature_4': 6.049485146643219}[0m
[32m2026-06-12 11:12:50.223[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.048469753731823, 7.530843816929902, 0.23771247849533883, 7.993346770416051, 6.049485146643219], Scaled: [-0.9796858 0.85244454 -1.67381432 1.06702234 0.38605741][0m
[32m2026-06-12 11:12:50.230[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.82214424 0.17785576][0m
[32m2026-06-12 11:12:50.232[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.232[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 8.89 ms.[0m
[32m2026-06-12 11:12:50.233[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 82.21%)[0m
[32m2026-06-12 11:12:50.233[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 82.21%)[0m
[32m2026-06-12 11:12:50.258[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.701603064060258, 'feature_1': 9.46800811392832, 'feature_2': 5.018423337507565, 'feature_3': 9.552873111680547, 'feature_4': 1.4060147816354351}[0m
[32m2026-06-12 11:12:50.258[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.701603064060258, 'feature_1': 9.46800811392832, 'feature_2': 5.018423337507565, 'feature_3': 9.552873111680547, 'feature_4': 1.4060147816354351}[0m
[32m2026-06-12 11:12:50.259[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.701603064060258, 9.46800811392832, 5.018423337507565, 9.552873111680547, 1.4060147816354351], Scaled: [ 1.60696942 1.49184314 0.02791743 1.61377667 -1.23332263][0m
[32m2026-06-12 11:12:50.264[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [5.05676785e-06 9.99994943e-01][0m
[32m2026-06-12 11:12:50.266[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:50.267[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.21 ms.[0m
[32m2026-06-12 11:12:50.267[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.267[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.318[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.119680201900424, 'feature_1': 4.654764085245314, 'feature_2': 8.628966000109008, 'feature_3': 2.47490845676424, 'feature_4': 8.415704803077807}[0m
[32m2026-06-12 11:12:50.319[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.119680201900424, 'feature_1': 4.654764085245314, 'feature_2': 8.628966000109008, 'feature_3': 2.47490845676424, 'feature_4': 8.415704803077807}[0m
[32m2026-06-12 11:12:50.319[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.119680201900424, 4.654764085245314, 8.628966000109008, 2.47490845676424, 8.415704803077807], Scaled: [-0.6176312 -0.0968613 1.31311858 -0.8676869 1.2112611 ][0m
[32m2026-06-12 11:12:50.334[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.06803103 0.93196897][0m
[32m2026-06-12 11:12:50.334[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:50.334[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 14.43 ms.[0m
[32m2026-06-12 11:12:50.334[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 93.20%)[0m
[32m2026-06-12 11:12:50.334[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 93.20%)[0m
[32m2026-06-12 11:12:50.400[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.3296872811529015, 'feature_1': 9.008760056525734, 'feature_2': 3.8055460270596333, 'feature_3': 1.4920808468730706, 'feature_4': 5.200948255543942}[0m
[32m2026-06-12 11:12:50.401[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.3296872811529015, 'feature_1': 9.008760056525734, 'feature_2': 3.8055460270596333, 'feature_3': 1.4920808468730706, 'feature_4': 5.200948255543942}[0m
[32m2026-06-12 11:12:50.407[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.3296872811529015, 9.008760056525734, 3.8055460270596333, 1.4920808468730706, 5.200948255543942], Scaled: [-1.22262452 1.34025943 -0.40381582 -1.21225642 0.0901357 ][0m
[32m2026-06-12 11:12:50.415[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99315044 0.00684956][0m
[32m2026-06-12 11:12:50.415[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.415[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 8.07 ms.[0m
[32m2026-06-12 11:12:50.415[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.32%)[0m
[32m2026-06-12 11:12:50.415[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.32%)[0m
[32m2026-06-12 11:12:50.497[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.7712968338952442, 'feature_1': 3.5356607014668873, 'feature_2': 7.53567660886368, 'feature_3': 6.892849977081643, 'feature_4': 1.2668842106023703}[0m
[32m2026-06-12 11:12:50.497[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.7712968338952442, 'feature_1': 3.5356607014668873, 'feature_2': 7.53567660886368, 'feature_3': 6.892849977081643, 'feature_4': 1.2668842106023703}[0m
[32m2026-06-12 11:12:50.498[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.7712968338952442, 3.5356607014668873, 7.53567660886368, 6.892849977081643, 1.2668842106023703], Scaled: [-1.41135291 -0.46624305 0.92395359 0.68119918 -1.28184351][0m
[32m2026-06-12 11:12:50.499[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99717491 0.00282509][0m
[32m2026-06-12 11:12:50.511[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.511[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 12.58 ms.[0m
[32m2026-06-12 11:12:50.511[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.72%)[0m
[32m2026-06-12 11:12:50.511[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.72%)[0m
[32m2026-06-12 11:12:50.542[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.396328399862563, 'feature_1': 3.9062131499768036, 'feature_2': 4.887915927248059, 'feature_3': 3.695915856609423, 'feature_4': 2.164593066334791}[0m
[32m2026-06-12 11:12:50.543[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.396328399862563, 'feature_1': 3.9062131499768036, 'feature_2': 4.887915927248059, 'feature_3': 3.695915856609423, 'feature_4': 2.164593066334791}[0m
[32m2026-06-12 11:12:50.544[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.396328399862563, 3.9062131499768036, 4.887915927248059, 3.695915856609423, 2.164593066334791], Scaled: [-0.86211429 -0.34393504 -0.01853771 -0.43961393 -0.96877339][0m
[32m2026-06-12 11:12:50.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99924493e-01 7.55066757e-05][0m
[32m2026-06-12 11:12:50.545[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.75 ms.[0m
[32m2026-06-12 11:12:50.545[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:50.546[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:50.596[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.631660073460046, 'feature_1': 5.1325438038353255, 'feature_2': 5.262178405661169, 'feature_3': 5.677788580308102, 'feature_4': 5.581124203216824}[0m
[32m2026-06-12 11:12:50.597[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.631660073460046, 'feature_1': 5.1325438038353255, 'feature_2': 5.262178405661169, 'feature_3': 5.677788580308102, 'feature_4': 5.581124203216824}[0m
[32m2026-06-12 11:12:50.597[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.631660073460046, 5.1325438038353255, 5.262178405661169, 5.677788580308102, 5.581124203216824], Scaled: [0.56937034 0.06083915 0.11468397 0.25521081 0.22271958][0m
[32m2026-06-12 11:12:50.604[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02201209 0.97798791][0m
[32m2026-06-12 11:12:50.604[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:50.604[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.33 ms.[0m
[32m2026-06-12 11:12:50.604[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.80%)[0m
[32m2026-06-12 11:12:50.604[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.80%)[0m
[32m2026-06-12 11:12:50.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.422902454371825, 'feature_1': 3.660920546630316, 'feature_2': 3.0281634956365098, 'feature_3': 2.0562601615849543, 'feature_4': 4.097356588677606}[0m
[32m2026-06-12 11:12:50.636[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.422902454371825, 'feature_1': 3.660920546630316, 'feature_2': 3.0281634956365098, 'feature_3': 2.0562601615849543, 'feature_4': 4.097356588677606}[0m
[32m2026-06-12 11:12:50.637[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.422902454371825, 3.660920546630316, 3.0281634956365098, 2.0562601615849543, 4.097356588677606], Scaled: [-1.19111906 -0.42489861 -0.68053126 -1.0144608 -0.29473471][0m
[32m2026-06-12 11:12:50.641[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99997565e-01 2.43508217e-06][0m
[32m2026-06-12 11:12:50.642[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.642[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.63 ms.[0m
[32m2026-06-12 11:12:50.642[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.642[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.696[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.752621622334443, 'feature_1': 4.462342851839461, 'feature_2': 8.975996528728047, 'feature_3': 7.9679850937742955, 'feature_4': 9.713038447493023}[0m
[32m2026-06-12 11:12:50.697[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.752621622334443, 'feature_1': 4.462342851839461, 'feature_2': 8.975996528728047, 'feature_3': 7.9679850937742955, 'feature_4': 9.713038447493023}[0m
[32m2026-06-12 11:12:50.697[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.752621622334443, 4.462342851839461, 8.975996528728047, 7.9679850937742955, 9.713038447493023], Scaled: [ 0.27226728 -0.16037366 1.43664683 1.05813079 1.66369776][0m
[32m2026-06-12 11:12:50.709[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [8.48274158e-07 9.99999152e-01][0m
[32m2026-06-12 11:12:50.709[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:50.709[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 11.41 ms.[0m
[32m2026-06-12 11:12:50.709[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.709[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:50.782[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.645614171871964, 'feature_1': 2.2362861678587533, 'feature_2': 3.2353776597791875, 'feature_3': 9.477967492767528, 'feature_4': 5.449449693141953}[0m
[32m2026-06-12 11:12:50.785[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.645614171871964, 'feature_1': 2.2362861678587533, 'feature_2': 3.2353776597791875, 'feature_3': 9.477967492767528, 'feature_4': 5.449449693141953}[0m
[32m2026-06-12 11:12:50.792[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.645614171871964, 2.2362861678587533, 3.2353776597791875, 9.477967492767528, 5.449449693141953], Scaled: [-0.43987265 -0.89512679 -0.60677175 1.5875155 0.17679896][0m
[32m2026-06-12 11:12:50.794[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.79474733 0.20525267][0m
[32m2026-06-12 11:12:50.794[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.794[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.39 ms.[0m
[32m2026-06-12 11:12:50.794[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 79.47%)[0m
[32m2026-06-12 11:12:50.794[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 79.47%)[0m
[32m2026-06-12 11:12:50.827[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.177151216313871, 'feature_1': 8.53789040460731, 'feature_2': 0.7780867224882038, 'feature_3': 7.635295582594834, 'feature_4': 3.9340736498601148}[0m
[32m2026-06-12 11:12:50.828[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.177151216313871, 'feature_1': 8.53789040460731, 'feature_2': 0.7780867224882038, 'feature_3': 7.635295582594834, 'feature_4': 3.9340736498601148}[0m
[32m2026-06-12 11:12:50.832[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.177151216313871, 8.53789040460731, 0.7780867224882038, 7.635295582594834, 3.9340736498601148], Scaled: [ 0.07776609 1.18483977 -1.48146384 0.94149318 -0.35167857][0m
[32m2026-06-12 11:12:50.835[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.23503416 0.76496584][0m
[32m2026-06-12 11:12:50.835[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:50.835[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.30 ms.[0m
[32m2026-06-12 11:12:50.835[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 76.50%)[0m
[32m2026-06-12 11:12:50.835[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 76.50%)[0m
[32m2026-06-12 11:12:50.890[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.881753293681172, 'feature_1': 6.444207194843505, 'feature_2': 5.039721247784753, 'feature_3': 5.3413587625828995, 'feature_4': 4.319738844759068}[0m
[32m2026-06-12 11:12:50.890[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.881753293681172, 'feature_1': 6.444207194843505, 'feature_2': 5.039721247784753, 'feature_3': 5.3413587625828995, 'feature_4': 4.319738844759068}[0m
[32m2026-06-12 11:12:50.891[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.881753293681172, 6.444207194843505, 5.039721247784753, 5.3413587625828995, 4.319738844759068], Scaled: [ 0.31591203 0.49377907 0.03549859 0.13726189 -0.21718034][0m
[32m2026-06-12 11:12:50.899[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.08560892 0.91439108][0m
[32m2026-06-12 11:12:50.899[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:50.900[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 8.16 ms.[0m
[32m2026-06-12 11:12:50.900[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 91.44%)[0m
[32m2026-06-12 11:12:50.900[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 91.44%)[0m
[32m2026-06-12 11:12:50.947[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.422111016926669, 'feature_1': 4.0090936094983896, 'feature_2': 5.638248347190635, 'feature_3': 0.2852490739767788, 'feature_4': 5.401810029811816}[0m
[32m2026-06-12 11:12:50.948[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.422111016926669, 'feature_1': 4.0090936094983896, 'feature_2': 5.638248347190635, 'feature_3': 0.2852490739767788, 'feature_4': 5.401810029811816}[0m
[32m2026-06-12 11:12:50.949[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.422111016926669, 4.0090936094983896, 5.638248347190635, 0.2852490739767788, 5.401810029811816], Scaled: [-0.17742726 -0.30997735 0.24854903 -1.63535956 0.16018493][0m
[32m2026-06-12 11:12:50.955[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99829543 0.00170457][0m
[32m2026-06-12 11:12:50.955[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:50.958[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.40 ms.[0m
[32m2026-06-12 11:12:50.958[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:12:50.958[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:12:51.026[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.262971079585977, 'feature_1': 1.7905430301504233, 'feature_2': 0.19018808061977865, 'feature_3': 5.461055260849504, 'feature_4': 9.194099996735064}[0m
[32m2026-06-12 11:12:51.027[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.262971079585977, 'feature_1': 1.7905430301504233, 'feature_2': 0.19018808061977865, 'feature_3': 5.461055260849504, 'feature_4': 9.194099996735064}[0m
[32m2026-06-12 11:12:51.028[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.262971079585977, 1.7905430301504233, 0.19018808061977865, 5.461055260849504, 9.194099996735064], Scaled: [ 1.45871776 -1.04225295 -1.690731 0.17922628 1.48272135][0m
[32m2026-06-12 11:12:51.035[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.35646959 0.64353041][0m
[32m2026-06-12 11:12:51.035[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.035[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.52 ms.[0m
[32m2026-06-12 11:12:51.035[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 64.35%)[0m
[32m2026-06-12 11:12:51.038[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 64.35%)[0m
[32m2026-06-12 11:12:51.099[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.8336063581743824, 'feature_1': 7.715293447565649, 'feature_2': 3.0679430398571372, 'feature_3': 6.555522599201208, 'feature_4': 8.149101160675725}[0m
[32m2026-06-12 11:12:51.099[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.8336063581743824, 'feature_1': 7.715293447565649, 'feature_2': 3.0679430398571372, 'feature_3': 6.555522599201208, 'feature_4': 8.149101160675725}[0m
[32m2026-06-12 11:12:51.100[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.8336063581743824, 7.715293447565649, 3.0679430398571372, 6.555522599201208, 8.149101160675725], Scaled: [-1.39029314 0.91332571 -0.66637142 0.56293558 1.11828482][0m
[32m2026-06-12 11:12:51.101[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.19477419 0.80522581][0m
[32m2026-06-12 11:12:51.104[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.104[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.75 ms.[0m
[32m2026-06-12 11:12:51.104[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 80.52%)[0m
[32m2026-06-12 11:12:51.104[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 80.52%)[0m
[32m2026-06-12 11:12:51.164[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.772304948756991, 'feature_1': 5.729024826823862, 'feature_2': 5.675347530310235, 'feature_3': 9.894705523247007, 'feature_4': 3.33786253217958}[0m
[32m2026-06-12 11:12:51.164[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.772304948756991, 'feature_1': 5.729024826823862, 'feature_2': 5.675347530310235, 'feature_3': 9.894705523247007, 'feature_4': 3.33786253217958}[0m
[32m2026-06-12 11:12:51.165[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.772304948756991, 5.729024826823862, 5.675347530310235, 9.894705523247007, 3.33786253217958], Scaled: [-0.05906646 0.25771927 0.26175478 1.73361969 -0.55960331][0m
[32m2026-06-12 11:12:51.169[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.0051991 0.9948009][0m
[32m2026-06-12 11:12:51.169[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.169[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.32 ms.[0m
[32m2026-06-12 11:12:51.169[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.48%)[0m
[32m2026-06-12 11:12:51.169[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.48%)[0m
[32m2026-06-12 11:12:51.205[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.346102627528092, 'feature_1': 7.14879774332582, 'feature_2': 5.167522330308253, 'feature_3': 6.585853577552202, 'feature_4': 7.188097787179618}[0m
[32m2026-06-12 11:12:51.206[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.346102627528092, 'feature_1': 7.14879774332582, 'feature_2': 5.167522330308253, 'feature_3': 6.585853577552202, 'feature_4': 7.188097787179618}[0m
[32m2026-06-12 11:12:51.206[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.346102627528092, 7.14879774332582, 5.167522330308253, 6.585853577552202, 7.188097787179618], Scaled: [0.4728558 0.72634283 0.08099039 0.57356931 0.78314115][0m
[32m2026-06-12 11:12:51.213[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.60277513e-04 9.99839722e-01][0m
[32m2026-06-12 11:12:51.213[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.213[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.32 ms.[0m
[32m2026-06-12 11:12:51.213[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:51.213[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:51.251[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.004660111850883, 'feature_1': 5.653549760204275, 'feature_2': 8.809735517597264, 'feature_3': 5.32050281047785, 'feature_4': 6.633613566736686}[0m
[32m2026-06-12 11:12:51.252[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.004660111850883, 'feature_1': 5.653549760204275, 'feature_2': 8.809735517597264, 'feature_3': 5.32050281047785, 'feature_4': 6.633613566736686}[0m
[32m2026-06-12 11:12:51.252[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.004660111850883, 5.653549760204275, 8.809735517597264, 5.32050281047785, 6.633613566736686], Scaled: [0.35745286 0.23280726 1.37746491 0.12995 0.58976839][0m
[32m2026-06-12 11:12:51.265[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.50721162e-04 9.99849279e-01][0m
[32m2026-06-12 11:12:51.265[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.265[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 12.22 ms.[0m
[32m2026-06-12 11:12:51.265[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:51.265[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:51.295[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.6560905001516335, 'feature_1': 8.81420409315896, 'feature_2': 0.1130619204349681, 'feature_3': 9.201463866318718, 'feature_4': 2.1842155837513353}[0m
[32m2026-06-12 11:12:51.295[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.6560905001516335, 'feature_1': 8.81420409315896, 'feature_2': 0.1130619204349681, 'feature_3': 9.201463866318718, 'feature_4': 2.1842155837513353}[0m
[32m2026-06-12 11:12:51.296[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.6560905001516335, 8.81420409315896, 0.1130619204349681, 9.201463866318718, 2.1842155837513353], Scaled: [-1.11230466 1.27604246 -1.71818467 1.4905761 -0.96193017][0m
[32m2026-06-12 11:12:51.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97395518 0.02604482][0m
[32m2026-06-12 11:12:51.303[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.75 ms.[0m
[32m2026-06-12 11:12:51.303[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.40%)[0m
[32m2026-06-12 11:12:51.303[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.40%)[0m
[32m2026-06-12 11:12:51.362[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.863225952544431, 'feature_1': 6.224509044024096, 'feature_2': 3.11844652910378, 'feature_3': 3.4067886956107762, 'feature_4': 4.9256128966884996}[0m
[32m2026-06-12 11:12:51.362[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.863225952544431, 'feature_1': 6.224509044024096, 'feature_2': 3.11844652910378, 'feature_3': 3.4067886956107762, 'feature_4': 4.9256128966884996}[0m
[32m2026-06-12 11:12:51.363[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.863225952544431, 6.224509044024096, 3.11844652910378, 3.4067886956107762, 4.9256128966884996], Scaled: [ 0.64763647 0.42126344 -0.64839431 -0.54097901 -0.00588571][0m
[32m2026-06-12 11:12:51.364[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.6645239 0.3354761][0m
[32m2026-06-12 11:12:51.365[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.365[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.69 ms.[0m
[32m2026-06-12 11:12:51.365[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 66.45%)[0m
[32m2026-06-12 11:12:51.365[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 66.45%)[0m
[32m2026-06-12 11:12:51.402[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.3081635768989575, 'feature_1': 8.621454513623755, 'feature_2': 6.230884385579268, 'feature_3': 9.947055383643118, 'feature_4': 9.382521924058002}[0m
[32m2026-06-12 11:12:51.403[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.3081635768989575, 'feature_1': 8.621454513623755, 'feature_2': 6.230884385579268, 'feature_3': 9.947055383643118, 'feature_4': 9.382521924058002}[0m
[32m2026-06-12 11:12:51.403[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.3081635768989575, 8.621454513623755, 6.230884385579268, 9.947055383643118, 9.382521924058002], Scaled: [-0.21593995 1.21242173 0.45950251 1.75197302 1.54843227][0m
[32m2026-06-12 11:12:51.405[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.16611737e-07 9.99999883e-01][0m
[32m2026-06-12 11:12:51.405[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.405[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.08 ms.[0m
[32m2026-06-12 11:12:51.405[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:51.405[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:51.468[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.4116473933117337, 'feature_1': 8.034196481181526, 'feature_2': 6.075715630845534, 'feature_3': 5.9463246574598685, 'feature_4': 3.076668778673086}[0m
[32m2026-06-12 11:12:51.469[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.4116473933117337, 'feature_1': 8.034196481181526, 'feature_2': 6.075715630845534, 'feature_3': 5.9463246574598685, 'feature_4': 3.076668778673086}[0m
[32m2026-06-12 11:12:51.470[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.4116473933117337, 8.034196481181526, 6.075715630845534, 5.9463246574598685, 3.076668778673086], Scaled: [-1.53290955 1.01858584 0.40426896 0.34935688 -0.65069293][0m
[32m2026-06-12 11:12:51.472[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.83620482 0.16379518][0m
[32m2026-06-12 11:12:51.472[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.472[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.36 ms.[0m
[32m2026-06-12 11:12:51.473[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 83.62%)[0m
[32m2026-06-12 11:12:51.473[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 83.62%)[0m
[32m2026-06-12 11:12:51.502[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.581560553898891, 'feature_1': 1.8720719211849002, 'feature_2': 6.684591074803496, 'feature_3': 0.04929866778590086, 'feature_4': 7.716435115938315}[0m
[32m2026-06-12 11:12:51.503[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.581560553898891, 'feature_1': 1.8720719211849002, 'feature_2': 6.684591074803496, 'feature_3': 0.04929866778590086, 'feature_4': 7.716435115938315}[0m
[32m2026-06-12 11:12:51.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.581560553898891, 1.8720719211849002, 6.684591074803496, 0.04929866778590086, 7.716435115938315], Scaled: [ 0.55243739 -1.01534276 0.62100298 -1.71808141 0.96739535][0m
[32m2026-06-12 11:12:51.510[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.93944482 0.06055518][0m
[32m2026-06-12 11:12:51.510[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.510[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.15 ms.[0m
[32m2026-06-12 11:12:51.510[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 93.94%)[0m
[32m2026-06-12 11:12:51.510[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 93.94%)[0m
[32m2026-06-12 11:12:51.570[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.524186220438884, 'feature_1': 4.393385938636314, 'feature_2': 4.511073187163489, 'feature_3': 3.0553589038167086, 'feature_4': 0.9998960589607775}[0m
[32m2026-06-12 11:12:51.571[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.524186220438884, 'feature_1': 4.393385938636314, 'feature_2': 4.511073187163489, 'feature_3': 3.0553589038167086, 'feature_4': 0.9998960589607775}[0m
[32m2026-06-12 11:12:51.571[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.524186220438884, 4.393385938636314, 4.511073187163489, 3.0553589038167086, 0.9998960589607775], Scaled: [ 0.87103207 -0.18313422 -0.15267786 -0.66418678 -1.37495389][0m
[32m2026-06-12 11:12:51.576[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99549775 0.00450225][0m
[32m2026-06-12 11:12:51.576[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.577[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.05 ms.[0m
[32m2026-06-12 11:12:51.577[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.55%)[0m
[32m2026-06-12 11:12:51.577[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.55%)[0m
[32m2026-06-12 11:12:51.633[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.1972824781647653, 'feature_1': 0.7132470509325828, 'feature_2': 4.616118597680745, 'feature_3': 1.6140205811210706, 'feature_4': 3.8162455030527975}[0m
[32m2026-06-12 11:12:51.635[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.1972824781647653, 'feature_1': 0.7132470509325828, 'feature_2': 4.616118597680745, 'feature_3': 1.6140205811210706, 'feature_4': 3.8162455030527975}[0m
[32m2026-06-12 11:12:51.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.1972824781647653, 0.7132470509325828, 4.616118597680745, 1.6140205811210706, 3.8162455030527975], Scaled: [-1.60536198 -1.39783536 -0.11528612 -1.16950557 -0.39277037][0m
[32m2026-06-12 11:12:51.639[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999953e-01 4.65762134e-08][0m
[32m2026-06-12 11:12:51.640[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.640[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.20 ms.[0m
[32m2026-06-12 11:12:51.640[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:51.640[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:51.692[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.263522405604539, 'feature_1': 5.796361336179826, 'feature_2': 8.82032651600168, 'feature_3': 7.538960373278507, 'feature_4': 9.255637046612625}[0m
[32m2026-06-12 11:12:51.693[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.263522405604539, 'feature_1': 5.796361336179826, 'feature_2': 8.82032651600168, 'feature_3': 7.538960373278507, 'feature_4': 9.255637046612625}[0m
[32m2026-06-12 11:12:51.693[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.263522405604539, 5.796361336179826, 8.82032651600168, 7.538960373278507, 9.255637046612625], Scaled: [-1.24498735 0.27994499 1.38123486 0.90771902 1.504182 ][0m
[32m2026-06-12 11:12:51.696[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.16651633e-04 9.99883348e-01][0m
[32m2026-06-12 11:12:51.697[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.697[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.19 ms.[0m
[32m2026-06-12 11:12:51.697[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:51.697[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:51.739[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.725553318171764, 'feature_1': 5.030104527623428, 'feature_2': 2.438535103378433, 'feature_3': 2.7150644170837324, 'feature_4': 0.9048370097183367}[0m
[32m2026-06-12 11:12:51.740[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.725553318171764, 'feature_1': 5.030104527623428, 'feature_2': 2.438535103378433, 'feature_3': 2.7150644170837324, 'feature_4': 0.9048370097183367}[0m
[32m2026-06-12 11:12:51.740[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.725553318171764, 5.030104527623428, 2.438535103378433, 2.7150644170837324, 0.9048370097183367], Scaled: [ 1.27707785 0.02702709 -0.89041414 -0.78349062 -1.40810511][0m
[32m2026-06-12 11:12:51.744[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99805835 0.00194165][0m
[32m2026-06-12 11:12:51.744[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.744[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.32 ms.[0m
[32m2026-06-12 11:12:51.744[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.81%)[0m
[32m2026-06-12 11:12:51.744[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.81%)[0m
[32m2026-06-12 11:12:51.802[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.998741917854852, 'feature_1': 3.8037006610568733, 'feature_2': 8.61595047630214, 'feature_3': 3.6904784545153513, 'feature_4': 4.8724210908177366}[0m
[32m2026-06-12 11:12:51.803[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.998741917854852, 'feature_1': 3.8037006610568733, 'feature_2': 8.61595047630214, 'feature_3': 3.6904784545153513, 'feature_4': 4.8724210908177366}[0m
[32m2026-06-12 11:12:51.803[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.998741917854852, 3.8037006610568733, 8.61595047630214, 3.6904784545153513, 4.8724210908177366], Scaled: [ 1.36941189 -0.37777127 1.3084856 -0.44152022 -0.02443601][0m
[32m2026-06-12 11:12:51.809[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00280433 0.99719567][0m
[32m2026-06-12 11:12:51.809[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:51.809[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.50 ms.[0m
[32m2026-06-12 11:12:51.809[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.72%)[0m
[32m2026-06-12 11:12:51.809[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.72%)[0m
[32m2026-06-12 11:12:51.869[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.228249352556182, 'feature_1': 2.067928766867859, 'feature_2': 9.665830655730865, 'feature_3': 1.928926401070894, 'feature_4': 4.487601969727251}[0m
[32m2026-06-12 11:12:51.870[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.228249352556182, 'feature_1': 2.067928766867859, 'feature_2': 9.665830655730865, 'feature_3': 1.928926401070894, 'feature_4': 4.487601969727251}[0m
[32m2026-06-12 11:12:51.871[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.228249352556182, 2.067928766867859, 9.665830655730865, 1.928926401070894, 4.487601969727251], Scaled: [ 0.43302299 -0.95069641 1.68219873 -1.05910274 -0.15863917][0m
[32m2026-06-12 11:12:51.872[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.68724809 0.31275191][0m
[32m2026-06-12 11:12:51.874[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.874[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.50 ms.[0m
[32m2026-06-12 11:12:51.874[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 68.72%)[0m
[32m2026-06-12 11:12:51.875[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 68.72%)[0m
[32m2026-06-12 11:12:51.941[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.419153374194977, 'feature_1': 7.2405615883973535, 'feature_2': 2.009027143840978, 'feature_3': 5.772652967028509, 'feature_4': 8.269681221690199}[0m
[32m2026-06-12 11:12:51.941[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.419153374194977, 'feature_1': 7.2405615883973535, 'feature_2': 2.009027143840978, 'feature_3': 5.772652967028509, 'feature_4': 8.269681221690199}[0m
[32m2026-06-12 11:12:51.942[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.419153374194977, 7.2405615883973535, 2.009027143840978, 5.772652967028509, 8.269681221690199], Scaled: [-1.19238619 0.75663126 -1.04330089 0.28846932 1.16033633][0m
[32m2026-06-12 11:12:51.947[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.63398263 0.36601737][0m
[32m2026-06-12 11:12:51.948[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.948[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.22 ms.[0m
[32m2026-06-12 11:12:51.948[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 63.40%)[0m
[32m2026-06-12 11:12:51.948[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 63.40%)[0m
[32m2026-06-12 11:12:51.977[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.238862832368025, 'feature_1': 3.816437168601979, 'feature_2': 3.3081595475827585, 'feature_3': 4.669365663285485, 'feature_4': 0.2887213452684756}[0m
[32m2026-06-12 11:12:51.977[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.238862832368025, 'feature_1': 3.816437168601979, 'feature_2': 3.3081595475827585, 'feature_3': 4.669365663285485, 'feature_4': 0.2887213452684756}[0m
[32m2026-06-12 11:12:51.978[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.238862832368025, 3.816437168601979, 3.3081595475827585, 4.669365663285485, 0.2887213452684756], Scaled: [-0.91533552 -0.37356734 -0.58086446 -0.09833217 -1.62297143][0m
[32m2026-06-12 11:12:51.979[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99997018e-01 2.98236883e-06][0m
[32m2026-06-12 11:12:51.979[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:51.979[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.53 ms.[0m
[32m2026-06-12 11:12:51.979[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:51.980[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.019[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.366331410218281, 'feature_1': 6.337314902377063, 'feature_2': 1.9389706776428928, 'feature_3': 2.5777548035451234, 'feature_4': 2.6393325695043135}[0m
[32m2026-06-12 11:12:52.020[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.366331410218281, 'feature_1': 6.337314902377063, 'feature_2': 1.9389706776428928, 'feature_3': 2.5777548035451234, 'feature_4': 2.6393325695043135}[0m
[32m2026-06-12 11:12:52.020[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.366331410218281, 6.337314902377063, 1.9389706776428928, 2.5777548035451234, 2.6393325695043135], Scaled: [-1.2102393 0.4584972 -1.06823804 -0.83163 -0.80321108][0m
[32m2026-06-12 11:12:52.021[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99994602e-01 5.39795762e-06][0m
[32m2026-06-12 11:12:52.022[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:52.022[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.09 ms.[0m
[32m2026-06-12 11:12:52.022[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.022[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.088[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.1786798987538496, 'feature_1': 7.638813078661944, 'feature_2': 1.7975752175372817, 'feature_3': 9.504308234224503, 'feature_4': 9.095298699818809}[0m
[32m2026-06-12 11:12:52.089[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.1786798987538496, 'feature_1': 7.638813078661944, 'feature_2': 1.7975752175372817, 'feature_3': 9.504308234224503, 'feature_4': 9.095298699818809}[0m
[32m2026-06-12 11:12:52.089[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.1786798987538496, 7.638813078661944, 1.7975752175372817, 9.504308234224503, 9.095298699818809], Scaled: [-1.6116494 0.88808188 -1.11856887 1.59675031 1.44826504][0m
[32m2026-06-12 11:12:52.093[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02615616 0.97384384][0m
[32m2026-06-12 11:12:52.093[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.093[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.27 ms.[0m
[32m2026-06-12 11:12:52.093[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.38%)[0m
[32m2026-06-12 11:12:52.093[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.38%)[0m
[32m2026-06-12 11:12:52.157[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.9811502326800845, 'feature_1': 7.9602581945136315, 'feature_2': 0.7406368477312675, 'feature_3': 2.145293201381083, 'feature_4': 6.223952120487299}[0m
[32m2026-06-12 11:12:52.158[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.9811502326800845, 'feature_1': 7.9602581945136315, 'feature_2': 0.7406368477312675, 'feature_3': 2.145293201381083, 'feature_4': 6.223952120487299}[0m
[32m2026-06-12 11:12:52.158[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.9811502326800845, 7.9602581945136315, 0.7406368477312675, 2.145293201381083, 6.223952120487299], Scaled: [ 1.02547971 0.99418107 -1.49479442 -0.98324671 0.44690163][0m
[32m2026-06-12 11:12:52.162[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.53636056 0.46363944][0m
[32m2026-06-12 11:12:52.162[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:52.162[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.29 ms.[0m
[32m2026-06-12 11:12:52.162[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 53.64%)[0m
[32m2026-06-12 11:12:52.162[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 53.64%)[0m
[32m2026-06-12 11:12:52.234[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.2815072850146265, 'feature_1': 2.7313748228664347, 'feature_2': 2.5505581202208605, 'feature_3': 7.461143263089153, 'feature_4': 2.7199966651341887}[0m
[32m2026-06-12 11:12:52.234[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.2815072850146265, 'feature_1': 2.7313748228664347, 'feature_2': 2.5505581202208605, 'feature_3': 7.461143263089153, 'feature_4': 2.7199966651341887}[0m
[32m2026-06-12 11:12:52.235[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.2815072850146265, 2.7313748228664347, 2.5505581202208605, 7.461143263089153, 2.7199966651341887], Scaled: [-0.90092227 -0.73171319 -0.85053867 0.88043712 -0.77508001][0m
[32m2026-06-12 11:12:52.239[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99844485e-01 1.55514980e-04][0m
[32m2026-06-12 11:12:52.239[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:52.239[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.38 ms.[0m
[32m2026-06-12 11:12:52.239[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:52.239[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:52.321[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.411615665621609, 'feature_1': 7.195366288591031, 'feature_2': 9.931289729817717, 'feature_3': 8.41122692902302, 'feature_4': 3.613630250159452}[0m
[32m2026-06-12 11:12:52.322[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.411615665621609, 'feature_1': 7.195366288591031, 'feature_2': 9.931289729817717, 'feature_3': 8.41122692902302, 'feature_4': 3.613630250159452}[0m
[32m2026-06-12 11:12:52.324[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.411615665621609, 7.195366288591031, 9.931289729817717, 8.41122692902302, 3.613630250159452], Scaled: [ 1.50895761 0.74171368 1.77669098 1.21352694 -0.46343112][0m
[32m2026-06-12 11:12:52.337[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [8.62436141e-08 9.99999914e-01][0m
[32m2026-06-12 11:12:52.337[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.337[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 13.19 ms.[0m
[32m2026-06-12 11:12:52.337[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.340[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.375[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.4040825108102628, 'feature_1': 5.707147605033624, 'feature_2': 8.364286799847378, 'feature_3': 6.8647769439079305, 'feature_4': 8.542700155138899}[0m
[32m2026-06-12 11:12:52.375[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.4040825108102628, 'feature_1': 5.707147605033624, 'feature_2': 8.364286799847378, 'feature_3': 6.8647769439079305, 'feature_4': 8.542700155138899}[0m
[32m2026-06-12 11:12:52.376[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.4040825108102628, 5.707147605033624, 8.364286799847378, 6.8647769439079305, 8.542700155138899], Scaled: [-1.19747994 0.25049827 1.21890393 0.67135705 1.2555499 ][0m
[32m2026-06-12 11:12:52.377[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.78600828e-04 9.99021399e-01][0m
[32m2026-06-12 11:12:52.377[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.379[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.18 ms.[0m
[32m2026-06-12 11:12:52.379[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:52.379[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:52.414[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.457193229463098, 'feature_1': 2.8859874784261095, 'feature_2': 1.3544463458837108, 'feature_3': 2.268252620837039, 'feature_4': 4.026955905345266}[0m
[32m2026-06-12 11:12:52.415[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.457193229463098, 'feature_1': 2.8859874784261095, 'feature_2': 1.3544463458837108, 'feature_3': 2.268252620837039, 'feature_4': 4.026955905345266}[0m
[32m2026-06-12 11:12:52.419[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.457193229463098, 2.8859874784261095, 1.3544463458837108, 2.268252620837039, 4.026955905345266], Scaled: [-0.50355638 -0.68068029 -1.27630409 -0.94013837 -0.31928649][0m
[32m2026-06-12 11:12:52.424[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99998370e-01 1.62966575e-06][0m
[32m2026-06-12 11:12:52.424[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:52.424[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.52 ms.[0m
[32m2026-06-12 11:12:52.424[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.424[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.476[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.713814547253306, 'feature_1': 0.863653466209916, 'feature_2': 1.526145359586344, 'feature_3': 9.635832684279684, 'feature_4': 6.9361391500920515}[0m
[32m2026-06-12 11:12:52.477[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.713814547253306, 'feature_1': 0.863653466209916, 'feature_2': 1.526145359586344, 'feature_3': 9.635832684279684, 'feature_4': 6.9361391500920515}[0m
[32m2026-06-12 11:12:52.477[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.713814547253306, 0.863653466209916, 1.526145359586344, 9.635832684279684, 6.9361391500920515], Scaled: [ 0.93512387 -1.34819081 -1.21518647 1.64286146 0.69527222][0m
[32m2026-06-12 11:12:52.483[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.16499995 0.83500005][0m
[32m2026-06-12 11:12:52.483[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.483[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.34 ms.[0m
[32m2026-06-12 11:12:52.483[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 83.50%)[0m
[32m2026-06-12 11:12:52.483[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 83.50%)[0m
[32m2026-06-12 11:12:52.536[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.048157521155273, 'feature_1': 9.171590075401415, 'feature_2': 8.468923496122242, 'feature_3': 7.785180525944133, 'feature_4': 3.3174947315010836}[0m
[32m2026-06-12 11:12:52.536[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.048157521155273, 'feature_1': 9.171590075401415, 'feature_2': 8.468923496122242, 'feature_3': 7.785180525944133, 'feature_4': 3.3174947315010836}[0m
[32m2026-06-12 11:12:52.537[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.048157521155273, 9.171590075401415, 8.468923496122242, 7.785180525944133, 3.3174947315010836], Scaled: [ 1.04812726 1.39400463 1.25615019 0.99404134 -0.56670645][0m
[32m2026-06-12 11:12:52.538[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.91279964e-07 9.99999309e-01][0m
[32m2026-06-12 11:12:52.543[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.543[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.25 ms.[0m
[32m2026-06-12 11:12:52.544[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.544[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:52.605[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.5118804103791827, 'feature_1': 7.722251762263471, 'feature_2': 8.140284908728043, 'feature_3': 4.036121737258079, 'feature_4': 4.926188772188237}[0m
[32m2026-06-12 11:12:52.605[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.5118804103791827, 'feature_1': 7.722251762263471, 'feature_2': 8.140284908728043, 'feature_3': 4.036121737258079, 'feature_4': 4.926188772188237}[0m
[32m2026-06-12 11:12:52.606[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.5118804103791827, 7.722251762263471, 8.140284908728043, 4.036121737258079, 4.926188772188237], Scaled: [-1.16104571 0.91562244 1.13916869 -0.32034115 -0.00568488][0m
[32m2026-06-12 11:12:52.607[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.15824148 0.84175852][0m
[32m2026-06-12 11:12:52.607[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.607[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.98 ms.[0m
[32m2026-06-12 11:12:52.613[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 84.18%)[0m
[32m2026-06-12 11:12:52.613[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 84.18%)[0m
[32m2026-06-12 11:12:52.655[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.296896611522855, 'feature_1': 3.238984037775805, 'feature_2': 6.373407800561338, 'feature_3': 5.842148500592867, 'feature_4': 1.8491455595895012}[0m
[32m2026-06-12 11:12:52.655[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.296896611522855, 'feature_1': 3.238984037775805, 'feature_2': 6.373407800561338, 'feature_3': 5.842148500592867, 'feature_4': 1.8491455595895012}[0m
[32m2026-06-12 11:12:52.656[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.296896611522855, 3.238984037775805, 6.373407800561338, 5.842148500592867, 1.8491455595895012], Scaled: [-0.21974803 -0.56416693 0.51023484 0.31283376 -1.07878366][0m
[32m2026-06-12 11:12:52.664[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9828357 0.0171643][0m
[32m2026-06-12 11:12:52.664[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:52.664[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 8.35 ms.[0m
[32m2026-06-12 11:12:52.664[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.28%)[0m
[32m2026-06-12 11:12:52.664[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.28%)[0m
[32m2026-06-12 11:12:52.708[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.499465674648187, 'feature_1': 8.706986249470724, 'feature_2': 3.2747709622670507, 'feature_3': 6.0530413953422455, 'feature_4': 2.508991506082304}[0m
[32m2026-06-12 11:12:52.709[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.499465674648187, 'feature_1': 8.706986249470724, 'feature_2': 3.2747709622670507, 'feature_3': 6.0530413953422455, 'feature_4': 2.508991506082304}[0m
[32m2026-06-12 11:12:52.709[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.499465674648187, 8.706986249470724, 3.2747709622670507, 6.0530413953422455, 2.508991506082304], Scaled: [ 0.186704 1.24065313 -0.59274939 0.3867707 -0.84866668][0m
[32m2026-06-12 11:12:52.714[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.21914134 0.78085866][0m
[32m2026-06-12 11:12:52.715[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.715[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.15 ms.[0m
[32m2026-06-12 11:12:52.715[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 78.09%)[0m
[32m2026-06-12 11:12:52.715[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 78.09%)[0m
[32m2026-06-12 11:12:52.745[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.8957352565801133, 'feature_1': 4.491611507858924, 'feature_2': 8.495458333801526, 'feature_3': 3.0770157201922563, 'feature_4': 1.5378802080714948}[0m
[32m2026-06-12 11:12:52.746[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.8957352565801133, 'feature_1': 4.491611507858924, 'feature_2': 8.495458333801526, 'feature_3': 3.0770157201922563, 'feature_4': 1.5378802080714948}[0m
[32m2026-06-12 11:12:52.747[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.8957352565801133, 4.491611507858924, 8.495458333801526, 3.0770157201922563, 1.5378802080714948], Scaled: [-1.03130798 -0.15071297 1.26559547 -0.65659412 -1.18733542][0m
[32m2026-06-12 11:12:52.752[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99840801 0.00159199][0m
[32m2026-06-12 11:12:52.752[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:52.752[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.50 ms.[0m
[32m2026-06-12 11:12:52.752[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.84%)[0m
[32m2026-06-12 11:12:52.752[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.84%)[0m
[32m2026-06-12 11:12:52.816[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.450234574637218, 'feature_1': 0.20140048269323918, 'feature_2': 9.362426073058138, 'feature_3': 3.186275508971328, 'feature_4': 5.599772790364996}[0m
[32m2026-06-12 11:12:52.817[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.450234574637218, 'feature_1': 0.20140048269323918, 'feature_2': 9.362426073058138, 'feature_3': 3.186275508971328, 'feature_4': 5.599772790364996}[0m
[32m2026-06-12 11:12:52.823[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.450234574637218, 0.20140048269323918, 9.362426073058138, 3.186275508971328, 5.599772790364996], Scaled: [ 0.50805099 -1.56678024 1.57419948 -0.61828873 0.22922316][0m
[32m2026-06-12 11:12:52.828[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.59311262 0.40688738][0m
[32m2026-06-12 11:12:52.828[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:52.828[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.66 ms.[0m
[32m2026-06-12 11:12:52.828[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 59.31%)[0m
[32m2026-06-12 11:12:52.828[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 59.31%)[0m
[32m2026-06-12 11:12:52.872[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.8659837163741635, 'feature_1': 3.1934099508459313, 'feature_2': 8.852983456510415, 'feature_3': 9.753012371263498, 'feature_4': 9.454864496094764}[0m
[32m2026-06-12 11:12:52.873[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.8659837163741635, 'feature_1': 3.1934099508459313, 'feature_2': 8.852983456510415, 'feature_3': 9.753012371263498, 'feature_4': 9.454864496094764}[0m
[32m2026-06-12 11:12:52.874[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.8659837163741635, 3.1934099508459313, 8.852983456510415, 9.753012371263498, 9.454864496094764], Scaled: [-1.37935003 -0.57920954 1.39285936 1.68394349 1.57366127][0m
[32m2026-06-12 11:12:52.878[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.41025566e-04 9.99758974e-01][0m
[32m2026-06-12 11:12:52.878[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.878[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.31 ms.[0m
[32m2026-06-12 11:12:52.878[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:52.878[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:52.922[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.360525031259487, 'feature_1': 8.565889590270885, 'feature_2': 8.070482074186923, 'feature_3': 1.7449852681721911, 'feature_4': 4.192328410473407}[0m
[32m2026-06-12 11:12:52.922[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.360525031259487, 'feature_1': 8.565889590270885, 'feature_2': 8.070482074186923, 'feature_3': 1.7449852681721911, 'feature_4': 4.192328410473407}[0m
[32m2026-06-12 11:12:52.923[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.360525031259487, 8.565889590270885, 8.070482074186923, 1.7449852681721911, 4.192328410473407], Scaled: [ 0.13974395 1.19408145 1.11432182 -1.12359066 -0.2616139 ][0m
[32m2026-06-12 11:12:52.931[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02694387 0.97305613][0m
[32m2026-06-12 11:12:52.931[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.931[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.30 ms.[0m
[32m2026-06-12 11:12:52.931[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.31%)[0m
[32m2026-06-12 11:12:52.931[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.31%)[0m
[32m2026-06-12 11:12:52.959[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.13397094100021434, 'feature_1': 3.6340761838858695, 'feature_2': 8.535258968350679, 'feature_3': 8.350235351914657, 'feature_4': 5.312549446203572}[0m
[32m2026-06-12 11:12:52.959[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.13397094100021434, 'feature_1': 3.6340761838858695, 'feature_2': 8.535258968350679, 'feature_3': 8.350235351914657, 'feature_4': 5.312549446203572}[0m
[32m2026-06-12 11:12:52.960[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.13397094100021434, 3.6340761838858695, 8.535258968350679, 8.350235351914657, 5.312549446203572], Scaled: [-1.62676042 -0.43375912 1.27976282 1.1921439 0.12905589][0m
[32m2026-06-12 11:12:52.963[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.24211087 0.75788913][0m
[32m2026-06-12 11:12:52.963[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:52.963[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.49 ms.[0m
[32m2026-06-12 11:12:52.964[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 75.79%)[0m
[32m2026-06-12 11:12:52.964[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 75.79%)[0m
[32m2026-06-12 11:12:53.043[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9989570626303963, 'feature_1': 3.6301257563571356, 'feature_2': 7.295152400723831, 'feature_3': 3.885867329132907, 'feature_4': 7.7870957866712285}[0m
[32m2026-06-12 11:12:53.044[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9989570626303963, 'feature_1': 3.6301257563571356, 'feature_2': 7.295152400723831, 'feature_3': 3.885867329132907, 'feature_4': 7.7870957866712285}[0m
[32m2026-06-12 11:12:53.044[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9989570626303963, 3.6301257563571356, 7.295152400723831, 3.885867329132907, 7.7870957866712285], Scaled: [-0.65843398 -0.43506303 0.8383371 -0.37301884 0.9920378 ][0m
[32m2026-06-12 11:12:53.048[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.36400333 0.63599667][0m
[32m2026-06-12 11:12:53.048[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.048[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.64 ms.[0m
[32m2026-06-12 11:12:53.048[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 63.60%)[0m
[32m2026-06-12 11:12:53.048[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 63.60%)[0m
[32m2026-06-12 11:12:53.083[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.435114341268161, 'feature_1': 6.217338267779047, 'feature_2': 3.5541973393784265, 'feature_3': 4.044242902006272, 'feature_4': 0.5798948464458098}[0m
[32m2026-06-12 11:12:53.084[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.435114341268161, 'feature_1': 6.217338267779047, 'feature_2': 3.5541973393784265, 'feature_3': 4.044242902006272, 'feature_4': 0.5798948464458098}[0m
[32m2026-06-12 11:12:53.084[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.435114341268161, 6.217338267779047, 3.5541973393784265, 4.044242902006272, 0.5798948464458098], Scaled: [ 0.16495412 0.41889658 -0.49328537 -0.31749395 -1.52142657][0m
[32m2026-06-12 11:12:53.090[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99781833 0.00218167][0m
[32m2026-06-12 11:12:53.090[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:53.090[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.43 ms.[0m
[32m2026-06-12 11:12:53.090[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:12:53.090[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:12:53.123[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.9072975786095772, 'feature_1': 3.724404072580424, 'feature_2': 4.990460866350654, 'feature_3': 9.359863997783703, 'feature_4': 0.05077696225046169}[0m
[32m2026-06-12 11:12:53.124[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.9072975786095772, 'feature_1': 3.724404072580424, 'feature_2': 4.990460866350654, 'feature_3': 9.359863997783703, 'feature_4': 0.05077696225046169}[0m
[32m2026-06-12 11:12:53.124[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.9072975786095772, 3.724404072580424, 4.990460866350654, 9.359863997783703, 0.05077696225046169], Scaled: [-1.36538651 -0.40394465 0.01796397 1.5461096 -1.70595299][0m
[32m2026-06-12 11:12:53.128[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99126038e-01 8.73961930e-04][0m
[32m2026-06-12 11:12:53.128[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:53.128[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.37 ms.[0m
[32m2026-06-12 11:12:53.128[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.91%)[0m
[32m2026-06-12 11:12:53.128[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.91%)[0m
[32m2026-06-12 11:12:53.168[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.874720064346294, 'feature_1': 7.313707641898619, 'feature_2': 9.869689220056458, 'feature_3': 6.868280886676383, 'feature_4': 3.437300149776431}[0m
[32m2026-06-12 11:12:53.169[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.874720064346294, 'feature_1': 7.313707641898619, 'feature_2': 9.869689220056458, 'feature_3': 6.868280886676383, 'feature_4': 3.437300149776431}[0m
[32m2026-06-12 11:12:53.169[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.874720064346294, 7.313707641898619, 9.869689220056458, 6.868280886676383, 3.437300149776431], Scaled: [ 0.98950775 0.78077454 1.7547638 0.6725855 -0.52492509][0m
[32m2026-06-12 11:12:53.177[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.83995547e-06 9.99996160e-01][0m
[32m2026-06-12 11:12:53.177[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.177[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.50 ms.[0m
[32m2026-06-12 11:12:53.177[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.177[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.253[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.01567448116593595, 'feature_1': 7.188995752438625, 'feature_2': 2.8077461469597296, 'feature_3': 7.33082916750411, 'feature_4': 1.8263362049693277}[0m
[32m2026-06-12 11:12:53.254[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.01567448116593595, 'feature_1': 7.188995752438625, 'feature_2': 2.8077461469597296, 'feature_3': 7.33082916750411, 'feature_4': 1.8263362049693277}[0m
[32m2026-06-12 11:12:53.256[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.01567448116593595, 7.188995752438625, 2.8077461469597296, 7.33082916750411, 1.8263362049693277], Scaled: [-1.66674302 0.73961096 -0.75899056 0.8347503 -1.08673827][0m
[32m2026-06-12 11:12:53.273[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99899835 0.00100165][0m
[32m2026-06-12 11:12:53.273[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:53.273[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 17.09 ms.[0m
[32m2026-06-12 11:12:53.273[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:53.273[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:53.301[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.7046166206674207, 'feature_1': 6.155850238231614, 'feature_2': 0.21965994960207014, 'feature_3': 8.845395364879336, 'feature_4': 8.474270586559191}[0m
[32m2026-06-12 11:12:53.302[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.7046166206674207, 'feature_1': 6.155850238231614, 'feature_2': 0.21965994960207014, 'feature_3': 8.845395364879336, 'feature_4': 8.474270586559191}[0m
[32m2026-06-12 11:12:53.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.7046166206674207, 6.155850238231614, 0.21965994960207014, 8.845395364879336, 8.474270586559191], Scaled: [-1.09590349 0.39860127 -1.68024026 1.36574205 1.23168554][0m
[32m2026-06-12 11:12:53.308[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.45215357 0.54784643][0m
[32m2026-06-12 11:12:53.308[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.310[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.09 ms.[0m
[32m2026-06-12 11:12:53.310[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 54.78%)[0m
[32m2026-06-12 11:12:53.311[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 54.78%)[0m
[32m2026-06-12 11:12:53.380[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.420673001763433, 'feature_1': 4.491965589216288, 'feature_2': 2.3626068384805423, 'feature_3': 5.0321883756876336, 'feature_4': 5.538480092528511}[0m
[32m2026-06-12 11:12:53.380[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.420673001763433, 'feature_1': 4.491965589216288, 'feature_2': 2.3626068384805423, 'feature_3': 5.0321883756876336, 'feature_4': 5.538480092528511}[0m
[32m2026-06-12 11:12:53.381[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.420673001763433, 4.491965589216288, 2.3626068384805423, 5.0321883756876336, 5.538480092528511], Scaled: [ 1.17403244 -0.1505961 -0.91744141 0.02886984 0.20784773][0m
[32m2026-06-12 11:12:53.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.31411813 0.68588187][0m
[32m2026-06-12 11:12:53.385[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.24 ms.[0m
[32m2026-06-12 11:12:53.385[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 68.59%)[0m
[32m2026-06-12 11:12:53.385[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 68.59%)[0m
[32m2026-06-12 11:12:53.445[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.104891483732843, 'feature_1': 5.602641880013937, 'feature_2': 6.409492285954318, 'feature_3': 5.138110386187562, 'feature_4': 8.537281583410804}[0m
[32m2026-06-12 11:12:53.446[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.104891483732843, 'feature_1': 5.602641880013937, 'feature_2': 6.409492285954318, 'feature_3': 5.138110386187562, 'feature_4': 8.537281583410804}[0m
[32m2026-06-12 11:12:53.447[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.104891483732843, 5.602641880013937, 6.409492285954318, 5.138110386187562, 8.537281583410804], Scaled: [1.405289 0.21600413 0.5230794 0.06600504 1.25366021][0m
[32m2026-06-12 11:12:53.451[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.04133408e-05 9.99989587e-01][0m
[32m2026-06-12 11:12:53.451[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.451[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.42 ms.[0m
[32m2026-06-12 11:12:53.451[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.451[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.497[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.406768145404849, 'feature_1': 5.1532417254566765, 'feature_2': 7.247672244780947, 'feature_3': 2.922779046873635, 'feature_4': 6.474605632098004}[0m
[32m2026-06-12 11:12:53.498[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.406768145404849, 'feature_1': 5.1532417254566765, 'feature_2': 7.247672244780947, 'feature_3': 2.922779046873635, 'feature_4': 6.474605632098004}[0m
[32m2026-06-12 11:12:53.504[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.406768145404849, 5.1532417254566765, 7.247672244780947, 2.922779046873635, 6.474605632098004], Scaled: [ 0.49335992 0.0676709 0.82143617 -0.71066795 0.53431541][0m
[32m2026-06-12 11:12:53.510[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02367123 0.97632877][0m
[32m2026-06-12 11:12:53.510[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.510[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.16 ms.[0m
[32m2026-06-12 11:12:53.510[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.63%)[0m
[32m2026-06-12 11:12:53.510[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.63%)[0m
[32m2026-06-12 11:12:53.539[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.914755438308784, 'feature_1': 2.4010783572276164, 'feature_2': 6.426902102708269, 'feature_3': 4.217309538455315, 'feature_4': 8.647294489325882}[0m
[32m2026-06-12 11:12:53.540[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.914755438308784, 'feature_1': 2.4010783572276164, 'feature_2': 6.426902102708269, 'feature_3': 4.217309538455315, 'feature_4': 8.647294489325882}[0m
[32m2026-06-12 11:12:53.543[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.914755438308784, 2.4010783572276164, 6.426902102708269, 4.217309538455315, 8.647294489325882], Scaled: [ 1.00303917 -0.84073394 0.52927656 -0.25681852 1.29202649][0m
[32m2026-06-12 11:12:53.548[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00539088 0.99460912][0m
[32m2026-06-12 11:12:53.548[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.548[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.48 ms.[0m
[32m2026-06-12 11:12:53.548[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.46%)[0m
[32m2026-06-12 11:12:53.548[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.46%)[0m
[32m2026-06-12 11:12:53.613[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.91833342680871, 'feature_1': 1.6921091548961753, 'feature_2': 7.776014593082308, 'feature_3': 3.0571969373261245, 'feature_4': 8.7908333942018}[0m
[32m2026-06-12 11:12:53.613[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.91833342680871, 'feature_1': 1.6921091548961753, 'feature_2': 7.776014593082308, 'feature_3': 3.0571969373261245, 'feature_4': 8.7908333942018}[0m
[32m2026-06-12 11:12:53.614[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.91833342680871, 1.6921091548961753, 7.776014593082308, 3.0571969373261245, 8.7908333942018], Scaled: [ 0.66626205 -1.07474296 1.00950379 -0.66354239 1.34208475][0m
[32m2026-06-12 11:12:53.615[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02657688 0.97342312][0m
[32m2026-06-12 11:12:53.615[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.615[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.18 ms.[0m
[32m2026-06-12 11:12:53.616[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.34%)[0m
[32m2026-06-12 11:12:53.616[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.34%)[0m
[32m2026-06-12 11:12:53.648[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.5453945100544804, 'feature_1': 9.733374183455595, 'feature_2': 5.566204970369212, 'feature_3': 1.4565719618329176, 'feature_4': 3.800668665957673}[0m
[32m2026-06-12 11:12:53.648[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.5453945100544804, 'feature_1': 9.733374183455595, 'feature_2': 5.566204970369212, 'feature_3': 1.4565719618329176, 'feature_4': 3.800668665957673}[0m
[32m2026-06-12 11:12:53.649[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.5453945100544804, 9.733374183455595, 5.566204970369212, 1.4565719618329176, 3.800668665957673], Scaled: [-0.47374554 1.57943236 0.22290462 -1.22470548 -0.39820269][0m
[32m2026-06-12 11:12:53.652[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.72922197 0.27077803][0m
[32m2026-06-12 11:12:53.653[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:53.653[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.23 ms.[0m
[32m2026-06-12 11:12:53.653[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 72.92%)[0m
[32m2026-06-12 11:12:53.653[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 72.92%)[0m
[32m2026-06-12 11:12:53.720[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.269148488015892, 'feature_1': 4.172940685979555, 'feature_2': 4.237144403023583, 'feature_3': 9.324781932697324, 'feature_4': 7.3178031002176755}[0m
[32m2026-06-12 11:12:53.721[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.269148488015892, 'feature_1': 4.172940685979555, 'feature_2': 4.237144403023583, 'feature_3': 9.324781932697324, 'feature_4': 7.3178031002176755}[0m
[32m2026-06-12 11:12:53.724[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.269148488015892, 4.172940685979555, 4.237144403023583, 9.324781932697324, 7.3178031002176755], Scaled: [ 1.12281921 -0.25589645 -0.25018497 1.53381018 0.82837503][0m
[32m2026-06-12 11:12:53.729[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.25631592e-05 9.99937437e-01][0m
[32m2026-06-12 11:12:53.730[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.730[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.39 ms.[0m
[32m2026-06-12 11:12:53.730[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:53.730[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:53.758[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.4513070169213576, 'feature_1': 7.119728051962734, 'feature_2': 8.947535811997472, 'feature_3': 1.694224888775261, 'feature_4': 3.1495578664862522}[0m
[32m2026-06-12 11:12:53.758[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.4513070169213576, 'feature_1': 7.119728051962734, 'feature_2': 8.947535811997472, 'feature_3': 1.694224888775261, 'feature_4': 3.1495578664862522}[0m
[32m2026-06-12 11:12:53.759[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.4513070169213576, 7.119728051962734, 8.947535811997472, 1.694224888775261, 3.1495578664862522], Scaled: [-0.1675594 0.71674781 1.42651602 -1.14138674 -0.62527334][0m
[32m2026-06-12 11:12:53.761[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.36574978 0.63425022][0m
[32m2026-06-12 11:12:53.761[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.761[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.45 ms.[0m
[32m2026-06-12 11:12:53.762[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 63.43%)[0m
[32m2026-06-12 11:12:53.762[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 63.43%)[0m
[32m2026-06-12 11:12:53.838[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.5361283120441493, 'feature_1': 1.396061380147261, 'feature_2': 0.8694598315187807, 'feature_3': 9.567476628398042, 'feature_4': 2.129604612832222}[0m
[32m2026-06-12 11:12:53.839[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.5361283120441493, 'feature_1': 1.396061380147261, 'feature_2': 0.8694598315187807, 'feature_3': 9.567476628398042, 'feature_4': 2.129604612832222}[0m
[32m2026-06-12 11:12:53.839[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.5361283120441493, 1.396061380147261, 0.8694598315187807, 9.567476628398042, 2.129604612832222], Scaled: [-0.81486382 -1.17245926 -1.44893886 1.61889651 -0.98097539][0m
[32m2026-06-12 11:12:53.847[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99966724e-01 3.32757864e-05][0m
[32m2026-06-12 11:12:53.847[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:53.847[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.50 ms.[0m
[32m2026-06-12 11:12:53.847[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.847[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.894[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.051241943004094, 'feature_1': 5.589309084094916, 'feature_2': 6.518203192080162, 'feature_3': 0.7269306661683783, 'feature_4': 7.238696344408144}[0m
[32m2026-06-12 11:12:53.894[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.051241943004094, 'feature_1': 5.589309084094916, 'feature_2': 6.518203192080162, 'feature_3': 0.7269306661683783, 'feature_4': 7.238696344408144}[0m
[32m2026-06-12 11:12:53.895[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.051241943004094, 5.589309084094916, 6.518203192080162, 0.7269306661683783, 7.238696344408144], Scaled: [ 0.03521046 0.21160338 0.5617759 -1.48051042 0.80078707][0m
[32m2026-06-12 11:12:53.898[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.4946148 0.5053852][0m
[32m2026-06-12 11:12:53.898[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:53.898[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.30 ms.[0m
[32m2026-06-12 11:12:53.898[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 50.54%)[0m
[32m2026-06-12 11:12:53.898[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 50.54%)[0m
[32m2026-06-12 11:12:53.933[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.6728780364601092, 'feature_1': 2.795685754436809, 'feature_2': 0.3631990134071139, 'feature_3': 2.4009391302679406, 'feature_4': 5.438374359286714}[0m
[32m2026-06-12 11:12:53.933[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.6728780364601092, 'feature_1': 2.795685754436809, 'feature_2': 0.3631990134071139, 'feature_3': 2.4009391302679406, 'feature_4': 5.438374359286714}[0m
[32m2026-06-12 11:12:53.935[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.6728780364601092, 2.795685754436809, 0.3631990134071139, 2.4009391302679406, 5.438374359286714], Scaled: [-1.1066307 -0.71048612 -1.6291464 -0.8936198 0.1729365 ][0m
[32m2026-06-12 11:12:53.939[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999683e-01 3.17002701e-07][0m
[32m2026-06-12 11:12:53.939[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:53.939[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.60 ms.[0m
[32m2026-06-12 11:12:53.939[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.939[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:53.970[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.647383895663868, 'feature_1': 1.712240169518, 'feature_2': 8.74746124073109, 'feature_3': 3.932975604194806, 'feature_4': 3.1464203252900145}[0m
[32m2026-06-12 11:12:53.970[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.647383895663868, 'feature_1': 1.712240169518, 'feature_2': 8.74746124073109, 'feature_3': 3.932975604194806, 'feature_4': 3.1464203252900145}[0m
[32m2026-06-12 11:12:53.971[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.647383895663868, 1.712240169518, 8.74746124073109, 3.932975604194806, 3.1464203252900145], Scaled: [ 0.57468478 -1.06809833 1.35529789 -0.35650315 -0.62636753][0m
[32m2026-06-12 11:12:53.972[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.73204349 0.26795651][0m
[32m2026-06-12 11:12:53.972[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:53.973[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.18 ms.[0m
[32m2026-06-12 11:12:53.973[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 73.20%)[0m
[32m2026-06-12 11:12:53.973[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 73.20%)[0m
[32m2026-06-12 11:12:54.036[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.3815334739566785, 'feature_1': 4.241098092798864, 'feature_2': 9.61980292288207, 'feature_3': 2.9461133157656083, 'feature_4': 8.81027565141618}[0m
[32m2026-06-12 11:12:54.037[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.3815334739566785, 'feature_1': 4.241098092798864, 'feature_2': 9.61980292288207, 'feature_3': 2.9461133157656083, 'feature_4': 8.81027565141618}[0m
[32m2026-06-12 11:12:54.037[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.3815334739566785, 4.241098092798864, 9.61980292288207, 2.9461133157656083, 8.81027565141618], Scaled: [-0.86711478 -0.23339977 1.6658148 -0.70248719 1.34886511][0m
[32m2026-06-12 11:12:54.043[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03028934 0.96971066][0m
[32m2026-06-12 11:12:54.043[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.043[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.38 ms.[0m
[32m2026-06-12 11:12:54.043[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.97%)[0m
[32m2026-06-12 11:12:54.043[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.97%)[0m
[32m2026-06-12 11:12:54.095[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.3900295357751338, 'feature_1': 3.2194376846186588, 'feature_2': 3.9853020640688785, 'feature_3': 2.591604278783821, 'feature_4': 3.361547620168581}[0m
[32m2026-06-12 11:12:54.096[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.3900295357751338, 'feature_1': 3.2194376846186588, 'feature_2': 3.9853020640688785, 'feature_3': 2.591604278783821, 'feature_4': 3.361547620168581}[0m
[32m2026-06-12 11:12:54.096[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.3900295357751338, 3.2194376846186588, 3.9853020640688785, 2.591604278783821, 3.361547620168581], Scaled: [-1.54021609 -0.57061859 -0.33983024 -0.82677451 -0.55134329][0m
[32m2026-06-12 11:12:54.102[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99998914e-01 1.08565992e-06][0m
[32m2026-06-12 11:12:54.102[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:54.102[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.29 ms.[0m
[32m2026-06-12 11:12:54.102[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.102[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.130[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.7551355984079833, 'feature_1': 3.171867284335368, 'feature_2': 3.295460687115901, 'feature_3': 8.685465092070677, 'feature_4': 8.540786885426074}[0m
[32m2026-06-12 11:12:54.131[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.7551355984079833, 'feature_1': 3.171867284335368, 'feature_2': 3.295460687115901, 'feature_3': 8.685465092070677, 'feature_4': 8.540786885426074}[0m
[32m2026-06-12 11:12:54.132[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.7551355984079833, 3.171867284335368, 3.295460687115901, 8.685465092070677, 8.540786885426074], Scaled: [-1.41681519 -0.58632012 -0.58538472 1.3096721 1.25488266][0m
[32m2026-06-12 11:12:54.136[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.71704777 0.28295223][0m
[32m2026-06-12 11:12:54.136[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:54.136[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.22 ms.[0m
[32m2026-06-12 11:12:54.136[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 71.70%)[0m
[32m2026-06-12 11:12:54.136[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 71.70%)[0m
[32m2026-06-12 11:12:54.204[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.920512310866137, 'feature_1': 1.2155814918472863, 'feature_2': 9.291154403640423, 'feature_3': 6.207620623047364, 'feature_4': 0.9873703437568992}[0m
[32m2026-06-12 11:12:54.204[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.920512310866137, 'feature_1': 1.2155814918472863, 'feature_2': 9.291154403640423, 'feature_3': 6.207620623047364, 'feature_4': 0.9873703437568992}[0m
[32m2026-06-12 11:12:54.205[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.920512310866137, 1.2155814918472863, 9.291154403640423, 6.207620623047364, 0.9873703437568992], Scaled: [-0.68494724 -1.23203014 1.54882976 0.44096463 -1.37932215][0m
[32m2026-06-12 11:12:54.212[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9942173 0.0057827][0m
[32m2026-06-12 11:12:54.212[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:54.212[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.29 ms.[0m
[32m2026-06-12 11:12:54.212[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.42%)[0m
[32m2026-06-12 11:12:54.212[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.42%)[0m
[32m2026-06-12 11:12:54.271[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.0473803327658935, 'feature_1': 3.129077306898159, 'feature_2': 8.4560730377901, 'feature_3': 8.20081105107584, 'feature_4': 4.928136064359634}[0m
[32m2026-06-12 11:12:54.272[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.0473803327658935, 'feature_1': 3.129077306898159, 'feature_2': 8.4560730377901, 'feature_3': 8.20081105107584, 'feature_4': 4.928136064359634}[0m
[32m2026-06-12 11:12:54.272[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.0473803327658935, 3.129077306898159, 8.4560730377901, 8.20081105107584, 4.928136064359634], Scaled: [-0.64206757 -0.60044378 1.25157596 1.13975724 -0.00500578][0m
[32m2026-06-12 11:12:54.280[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03709109 0.96290891][0m
[32m2026-06-12 11:12:54.281[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.281[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 8.19 ms.[0m
[32m2026-06-12 11:12:54.281[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.29%)[0m
[32m2026-06-12 11:12:54.281[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.29%)[0m
[32m2026-06-12 11:12:54.314[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.782040648613445, 'feature_1': 5.049295655888598, 'feature_2': 6.038948668432894, 'feature_3': 7.755508599421086, 'feature_4': 2.3257568425635267}[0m
[32m2026-06-12 11:12:54.315[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.782040648613445, 'feature_1': 5.049295655888598, 'feature_2': 6.038948668432894, 'feature_3': 7.755508599421086, 'feature_4': 2.3257568425635267}[0m
[32m2026-06-12 11:12:54.315[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.782040648613445, 5.049295655888598, 6.038948668432894, 7.755508599421086, 2.3257568425635267], Scaled: [-0.05577592 0.03336149 0.39118147 0.98363866 -0.91256858][0m
[32m2026-06-12 11:12:54.320[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.23922051 0.76077949][0m
[32m2026-06-12 11:12:54.320[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.320[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.35 ms.[0m
[32m2026-06-12 11:12:54.320[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 76.08%)[0m
[32m2026-06-12 11:12:54.320[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 76.08%)[0m
[32m2026-06-12 11:12:54.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.200611184177866, 'feature_1': 4.4900861454538665, 'feature_2': 1.4940122820545088, 'feature_3': 2.722899780600047, 'feature_4': 8.299385837263788}[0m
[32m2026-06-12 11:12:54.386[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.200611184177866, 'feature_1': 4.4900861454538665, 'feature_2': 1.4940122820545088, 'feature_3': 2.722899780600047, 'feature_4': 8.299385837263788}[0m
[32m2026-06-12 11:12:54.386[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.200611184177866, 4.4900861454538665, 1.4940122820545088, 2.722899780600047, 8.299385837263788], Scaled: [ 1.43764096 -0.15121644 -1.22662449 -0.78074362 1.17069562][0m
[32m2026-06-12 11:12:54.393[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.25222419 0.74777581][0m
[32m2026-06-12 11:12:54.393[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.393[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.37 ms.[0m
[32m2026-06-12 11:12:54.393[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 74.78%)[0m
[32m2026-06-12 11:12:54.393[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 74.78%)[0m
[32m2026-06-12 11:12:54.429[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.5321816200527862, 'feature_1': 9.638690901611065, 'feature_2': 6.101191081092311, 'feature_3': 3.622126772224308, 'feature_4': 4.939673445587216}[0m
[32m2026-06-12 11:12:54.430[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.5321816200527862, 'feature_1': 9.638690901611065, 'feature_2': 6.101191081092311, 'feature_3': 3.622126772224308, 'feature_4': 4.939673445587216}[0m
[32m2026-06-12 11:12:54.434[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.5321816200527862, 9.638690901611065, 6.101191081092311, 3.622126772224308, 4.939673445587216], Scaled: [-1.49217061e+00 1.54818031e+00 4.13337152e-01 -4.65483640e-01
-9.82190117e-04][0m
[32m2026-06-12 11:12:54.439[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.52978616 0.47021384][0m
[32m2026-06-12 11:12:54.443[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:54.444[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.77 ms.[0m
[32m2026-06-12 11:12:54.444[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 52.98%)[0m
[32m2026-06-12 11:12:54.444[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 52.98%)[0m
[32m2026-06-12 11:12:54.517[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.8035132767783368, 'feature_1': 8.697662208889788, 'feature_2': 7.957094886725078, 'feature_3': 8.865454364619406, 'feature_4': 8.70011947750989}[0m
[32m2026-06-12 11:12:54.517[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.8035132767783368, 'feature_1': 8.697662208889788, 'feature_2': 7.957094886725078, 'feature_3': 8.865454364619406, 'feature_4': 8.70011947750989}[0m
[32m2026-06-12 11:12:54.518[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.8035132767783368, 8.697662208889788, 7.957094886725078, 8.865454364619406, 8.70011947750989], Scaled: [-1.06247776 1.23757555 1.07396075 1.37277453 1.31044886][0m
[32m2026-06-12 11:12:54.521[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.01808252e-06 9.99997982e-01][0m
[32m2026-06-12 11:12:54.522[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.522[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.25 ms.[0m
[32m2026-06-12 11:12:54.522[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.522[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.569[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.50269867847946, 'feature_1': 9.769107829935875, 'feature_2': 2.6142132331616628, 'feature_3': 9.88652405186365, 'feature_4': 2.5466547371232915}[0m
[32m2026-06-12 11:12:54.570[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.50269867847946, 'feature_1': 9.769107829935875, 'feature_2': 2.6142132331616628, 'feature_3': 9.88652405186365, 'feature_4': 2.5466547371232915}[0m
[32m2026-06-12 11:12:54.570[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.50269867847946, 9.769107829935875, 2.6142132331616628, 9.88652405186365, 2.5466547371232915], Scaled: [ 0.52578314 1.59122694 -0.82788013 1.73075135 -0.83553187][0m
[32m2026-06-12 11:12:54.574[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [5.18767865e-04 9.99481232e-01][0m
[32m2026-06-12 11:12:54.574[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.574[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.23 ms.[0m
[32m2026-06-12 11:12:54.574[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:54.574[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:54.632[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.4157119150066215, 'feature_1': 3.7821790281435286, 'feature_2': 8.937810494158109, 'feature_3': 0.23526939671038583, 'feature_4': 3.3460572494426866}[0m
[32m2026-06-12 11:12:54.633[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.4157119150066215, 'feature_1': 3.7821790281435286, 'feature_2': 8.937810494158109, 'feature_3': 0.23526939671038583, 'feature_4': 3.3460572494426866}[0m
[32m2026-06-12 11:12:54.634[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.4157119150066215, 3.7821790281435286, 8.937810494158109, 0.23526939671038583, 3.3460572494426866], Scaled: [ 0.15839637 -0.3848749 1.42305421 -1.65288194 -0.55674546][0m
[32m2026-06-12 11:12:54.640[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98003076 0.01996924][0m
[32m2026-06-12 11:12:54.640[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:54.640[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.44 ms.[0m
[32m2026-06-12 11:12:54.640[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.00%)[0m
[32m2026-06-12 11:12:54.640[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.00%)[0m
[32m2026-06-12 11:12:54.696[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.332755638983517, 'feature_1': 8.990206417453841, 'feature_2': 1.3728649311407892, 'feature_3': 9.63787359179246, 'feature_4': 4.962095231569716}[0m
[32m2026-06-12 11:12:54.696[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.332755638983517, 'feature_1': 8.990206417453841, 'feature_2': 1.3728649311407892, 'feature_3': 9.63787359179246, 'feature_4': 4.962095231569716}[0m
[32m2026-06-12 11:12:54.697[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.332755638983517, 8.990206417453841, 1.3728649311407892, 9.63787359179246, 4.962095231569716], Scaled: [ 1.482304 1.33413544 -1.26974785 1.64357698 0.00683726][0m
[32m2026-06-12 11:12:54.704[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.74557563e-05 9.99982544e-01][0m
[32m2026-06-12 11:12:54.704[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.704[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.82 ms.[0m
[32m2026-06-12 11:12:54.704[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.704[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.736[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.4302184153515762, 'feature_1': 6.7779979030364546, 'feature_2': 4.932343081692564, 'feature_3': 4.48545630058182, 'feature_4': 7.002033517668704}[0m
[32m2026-06-12 11:12:54.736[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.4302184153515762, 'feature_1': 6.7779979030364546, 'feature_2': 4.932343081692564, 'feature_3': 4.48545630058182, 'feature_4': 7.002033517668704}[0m
[32m2026-06-12 11:12:54.737[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.4302184153515762, 6.7779979030364546, 4.932343081692564, 4.48545630058182, 7.002033517668704], Scaled: [-0.85065993 0.60395316 -0.00272352 -0.16280895 0.71825245][0m
[32m2026-06-12 11:12:54.738[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.34471494 0.65528506][0m
[32m2026-06-12 11:12:54.739[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.739[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.18 ms.[0m
[32m2026-06-12 11:12:54.739[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 65.53%)[0m
[32m2026-06-12 11:12:54.739[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 65.53%)[0m
[32m2026-06-12 11:12:54.788[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.7100832367924674, 'feature_1': 4.494942579463718, 'feature_2': 8.524723586551517, 'feature_3': 1.3622382082068951, 'feature_4': 5.792885211996302}[0m
[32m2026-06-12 11:12:54.789[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.7100832367924674, 'feature_1': 4.494942579463718, 'feature_2': 8.524723586551517, 'feature_3': 1.3622382082068951, 'feature_4': 5.792885211996302}[0m
[32m2026-06-12 11:12:54.789[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.7100832367924674, 4.494942579463718, 8.524723586551517, 1.3622382082068951, 5.792885211996302], Scaled: [-0.41808299 -0.14961348 1.27601267 -1.25777795 0.29656985][0m
[32m2026-06-12 11:12:54.797[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.79744965 0.20255035][0m
[32m2026-06-12 11:12:54.797[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:54.797[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.49 ms.[0m
[32m2026-06-12 11:12:54.797[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 79.74%)[0m
[32m2026-06-12 11:12:54.797[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 79.74%)[0m
[32m2026-06-12 11:12:54.853[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.0364513283764873, 'feature_1': 7.901322748392682, 'feature_2': 5.435347865314281, 'feature_3': 0.20079990176685159, 'feature_4': 1.913272471952554}[0m
[32m2026-06-12 11:12:54.854[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.0364513283764873, 'feature_1': 7.901322748392682, 'feature_2': 5.435347865314281, 'feature_3': 0.20079990176685159, 'feature_4': 1.913272471952554}[0m
[32m2026-06-12 11:12:54.854[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.0364513283764873, 7.901322748392682, 5.435347865314281, 0.20079990176685159, 1.913272471952554], Scaled: [-0.64576143 0.97472829 0.17632501 -1.6649666 -1.05641981][0m
[32m2026-06-12 11:12:54.861[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99531855e-01 4.68145428e-04][0m
[32m2026-06-12 11:12:54.861[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:54.861[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.50 ms.[0m
[32m2026-06-12 11:12:54.861[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:54.861[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:54.903[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.578559436629755, 'feature_1': 8.979553382188302, 'feature_2': 7.850530341719798, 'feature_3': 7.317834393252944, 'feature_4': 6.772243367995165}[0m
[32m2026-06-12 11:12:54.904[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.578559436629755, 'feature_1': 8.979553382188302, 'feature_2': 7.850530341719798, 'feature_3': 7.317834393252944, 'feature_4': 6.772243367995165}[0m
[32m2026-06-12 11:12:54.904[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.578559436629755, 8.979553382188302, 7.850530341719798, 7.317834393252944, 6.772243367995165], Scaled: [0.21343662 1.3306192 1.03602826 0.83019446 0.63811463][0m
[32m2026-06-12 11:12:54.909[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.10318611e-06 9.99998897e-01][0m
[32m2026-06-12 11:12:54.910[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.910[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.21 ms.[0m
[32m2026-06-12 11:12:54.910[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.910[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:54.952[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.847945165857702, 'feature_1': 3.5594248451889743, 'feature_2': 3.7403599226824524, 'feature_3': 6.224290682690735, 'feature_4': 8.23475798780811}[0m
[32m2026-06-12 11:12:54.952[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.847945165857702, 'feature_1': 3.5594248451889743, 'feature_2': 3.7403599226824524, 'feature_3': 6.224290682690735, 'feature_4': 8.23475798780811}[0m
[32m2026-06-12 11:12:54.953[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.847945165857702, 3.5594248451889743, 3.7403599226824524, 6.224290682690735, 8.23475798780811], Scaled: [ 0.9804582 -0.45839924 -0.42701933 0.44680898 1.14815708][0m
[32m2026-06-12 11:12:54.954[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00553136 0.99446864][0m
[32m2026-06-12 11:12:54.954[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:54.954[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.14 ms.[0m
[32m2026-06-12 11:12:54.954[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.45%)[0m
[32m2026-06-12 11:12:54.954[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.45%)[0m
[32m2026-06-12 11:12:55.016[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.7095731476905627, 'feature_1': 4.681084309264467, 'feature_2': 2.4910242557473605, 'feature_3': 4.152574832282694, 'feature_4': 2.6908978118377447}[0m
[32m2026-06-12 11:12:55.017[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.7095731476905627, 'feature_1': 4.681084309264467, 'feature_2': 2.4910242557473605, 'feature_3': 4.152574832282694, 'feature_4': 2.6908978118377447}[0m
[32m2026-06-12 11:12:55.017[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.7095731476905627, 4.681084309264467, 2.4910242557473605, 4.152574832282694, 2.6908978118377447], Scaled: [-0.41825539 -0.0881738 -0.87173021 -0.27951386 -0.78522804][0m
[32m2026-06-12 11:12:55.021[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99842959e-01 1.57040773e-04][0m
[32m2026-06-12 11:12:55.021[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.021[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.24 ms.[0m
[32m2026-06-12 11:12:55.021[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:55.021[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:55.092[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.8280341934988042, 'feature_1': 6.005780483499574, 'feature_2': 9.52547450598759, 'feature_3': 9.519251864714334, 'feature_4': 6.859825694343018}[0m
[32m2026-06-12 11:12:55.093[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.8280341934988042, 'feature_1': 6.005780483499574, 'feature_2': 9.52547450598759, 'feature_3': 9.519251864714334, 'feature_4': 6.859825694343018}[0m
[32m2026-06-12 11:12:55.093[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.8280341934988042, 6.005780483499574, 9.52547450598759, 9.519251864714334, 6.859825694343018], Scaled: [-1.05419003 0.34906784 1.63223785 1.60198939 0.6686584 ][0m
[32m2026-06-12 11:12:55.096[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.96462067e-05 9.99970354e-01][0m
[32m2026-06-12 11:12:55.097[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.097[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.13 ms.[0m
[32m2026-06-12 11:12:55.097[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:55.097[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:55.169[0m | [1mINFO [0m | [36m__main__[0m:[36m<cell line: 0>[0m:[36m26[0m - [1mProcessed 200 data points.[0m
[32m2026-06-12 11:12:55.170[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.2610729200914106, 'feature_1': 7.803474767268504, 'feature_2': 2.371482980747177, 'feature_3': 6.552964708521537, 'feature_4': 0.255225813031017}[0m
[32m2026-06-12 11:12:55.170[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.2610729200914106, 'feature_1': 7.803474767268504, 'feature_2': 2.371482980747177, 'feature_3': 6.552964708521537, 'feature_4': 0.255225813031017}[0m
[32m2026-06-12 11:12:55.170[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.2610729200914106, 7.803474767268504, 2.371482980747177, 6.552964708521537, 0.255225813031017], Scaled: [-0.90782881 0.94243167 -0.91428187 0.56203881 -1.63465278][0m
[32m2026-06-12 11:12:55.174[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99886257 0.00113743][0m
[32m2026-06-12 11:12:55.174[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.174[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.15 ms.[0m
[32m2026-06-12 11:12:55.174[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:12:55.174[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:12:55.229[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.948754857397627, 'feature_1': 2.8552905656050545, 'feature_2': 5.594583087264374, 'feature_3': 5.570356943691421, 'feature_4': 0.5330904434849282}[0m
[32m2026-06-12 11:12:55.229[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.948754857397627, 'feature_1': 2.8552905656050545, 'feature_2': 5.594583087264374, 'feature_3': 5.570356943691421, 'feature_4': 0.5330904434849282}[0m
[32m2026-06-12 11:12:55.230[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.948754857397627, 2.8552905656050545, 5.594583087264374, 5.570356943691421, 0.5330904434849282], Scaled: [-0.33741522 -0.6908124 0.23300604 0.21754636 -1.5377493 ][0m
[32m2026-06-12 11:12:55.235[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99558163e-01 4.41837364e-04][0m
[32m2026-06-12 11:12:55.236[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.236[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.21 ms.[0m
[32m2026-06-12 11:12:55.236[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:12:55.236[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:12:55.293[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.843569626406511, 'feature_1': 1.3141106111552403, 'feature_2': 3.3259651537693813, 'feature_3': 1.8829237714818747, 'feature_4': 1.4230467063950414}[0m
[32m2026-06-12 11:12:55.293[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.843569626406511, 'feature_1': 1.3141106111552403, 'feature_2': 3.3259651537693813, 'feature_3': 1.8829237714818747, 'feature_4': 1.4230467063950414}[0m
[32m2026-06-12 11:12:55.296[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.843569626406511, 1.3141106111552403, 3.3259651537693813, 1.8829237714818747, 1.4230467063950414], Scaled: [-0.03497997 -1.1995087 -0.57452641 -1.0752308 -1.22738285][0m
[32m2026-06-12 11:12:55.302[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999575e-01 4.24628715e-07][0m
[32m2026-06-12 11:12:55.302[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.60 ms.[0m
[32m2026-06-12 11:12:55.303[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:55.303[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:55.347[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.888373805339519, 'feature_1': 3.130407642388472, 'feature_2': 8.021340561873952, 'feature_3': 8.412879585815054, 'feature_4': 4.331851568575999}[0m
[32m2026-06-12 11:12:55.347[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.888373805339519, 'feature_1': 3.130407642388472, 'feature_2': 8.021340561873952, 'feature_3': 8.412879585815054, 'feature_4': 4.331851568575999}[0m
[32m2026-06-12 11:12:55.348[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.888373805339519, 3.130407642388472, 8.021340561873952, 8.412879585815054, 4.331851568575999], Scaled: [-0.35782319 -0.60000468 1.09682951 1.21410635 -0.21295611][0m
[32m2026-06-12 11:12:55.353[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03602652 0.96397348][0m
[32m2026-06-12 11:12:55.354[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.354[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.14 ms.[0m
[32m2026-06-12 11:12:55.354[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.40%)[0m
[32m2026-06-12 11:12:55.354[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.40%)[0m
[32m2026-06-12 11:12:55.413[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.987293761228542, 'feature_1': 6.205209622334916, 'feature_2': 0.3656210105323465, 'feature_3': 8.058571009732818, 'feature_4': 8.776634581055472}[0m
[32m2026-06-12 11:12:55.413[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.987293761228542, 'feature_1': 6.205209622334916, 'feature_2': 0.3656210105323465, 'feature_3': 8.058571009732818, 'feature_4': 8.776634581055472}[0m
[32m2026-06-12 11:12:55.414[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.987293761228542, 6.205209622334916, 0.3656210105323465, 8.058571009732818, 8.776634581055472], Scaled: [-0.66237602 0.41489329 -1.62828427 1.0898893 1.33713301][0m
[32m2026-06-12 11:12:55.424[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.20420766 0.79579234][0m
[32m2026-06-12 11:12:55.424[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.424[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 10.39 ms.[0m
[32m2026-06-12 11:12:55.424[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 79.58%)[0m
[32m2026-06-12 11:12:55.424[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 79.58%)[0m
[32m2026-06-12 11:12:55.455[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.33166825545710155, 'feature_1': 5.5142470147576255, 'feature_2': 7.159456326658649, 'feature_3': 2.34209965052544, 'feature_4': 8.539932900361283}[0m
[32m2026-06-12 11:12:55.455[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.33166825545710155, 'feature_1': 5.5142470147576255, 'feature_2': 7.159456326658649, 'feature_3': 2.34209965052544, 'feature_4': 8.539932900361283}[0m
[32m2026-06-12 11:12:55.456[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.33166825545710155, 5.5142470147576255, 7.159456326658649, 2.34209965052544, 8.539932900361283], Scaled: [-1.55994141 0.18682769 0.79003502 -0.91424834 1.25458484][0m
[32m2026-06-12 11:12:55.459[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.80892711 0.19107289][0m
[32m2026-06-12 11:12:55.459[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.459[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.39 ms.[0m
[32m2026-06-12 11:12:55.460[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 80.89%)[0m
[32m2026-06-12 11:12:55.460[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 80.89%)[0m
[32m2026-06-12 11:12:55.518[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.5300759081452864, 'feature_1': 7.510740610747938, 'feature_2': 1.8157162451776676, 'feature_3': 9.838197484060062, 'feature_4': 4.389716622226607}[0m
[32m2026-06-12 11:12:55.518[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.5300759081452864, 'feature_1': 7.510740610747938, 'feature_2': 1.8157162451776676, 'feature_3': 9.838197484060062, 'feature_4': 4.389716622226607}[0m
[32m2026-06-12 11:12:55.519[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.5300759081452864, 7.510740610747938, 1.8157162451776676, 9.838197484060062, 4.389716622226607], Scaled: [-1.15489588 0.84580909 -1.11211143 1.71380853 -0.19277605][0m
[32m2026-06-12 11:12:55.527[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.4920762 0.5079238][0m
[32m2026-06-12 11:12:55.527[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.527[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.36 ms.[0m
[32m2026-06-12 11:12:55.527[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 50.79%)[0m
[32m2026-06-12 11:12:55.527[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 50.79%)[0m
[32m2026-06-12 11:12:55.568[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.10358527710307, 'feature_1': 4.939909678187934, 'feature_2': 9.714695243852487, 'feature_3': 0.5182695790750813, 'feature_4': 9.265099434030224}[0m
[32m2026-06-12 11:12:55.568[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.10358527710307, 'feature_1': 4.939909678187934, 'feature_2': 9.714695243852487, 'feature_3': 0.5182695790750813, 'feature_4': 9.265099434030224}[0m
[32m2026-06-12 11:12:55.569[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.10358527710307, 4.939909678187934, 9.714695243852487, 0.5182695790750813, 9.265099434030224], Scaled: [ 0.39088823 -0.00274347 1.69959247 -1.55366491 1.50748194][0m
[32m2026-06-12 11:12:55.574[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00154722 0.99845278][0m
[32m2026-06-12 11:12:55.574[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.574[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.33 ms.[0m
[32m2026-06-12 11:12:55.574[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.85%)[0m
[32m2026-06-12 11:12:55.574[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.85%)[0m
[32m2026-06-12 11:12:55.610[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.994696295960902, 'feature_1': 5.193577529505994, 'feature_2': 9.819745374116332, 'feature_3': 6.2730381305384295, 'feature_4': 4.364733223360865}[0m
[32m2026-06-12 11:12:55.611[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.994696295960902, 'feature_1': 5.193577529505994, 'feature_2': 9.819745374116332, 'feature_3': 6.2730381305384295, 'feature_4': 4.364733223360865}[0m
[32m2026-06-12 11:12:55.611[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.994696295960902, 5.193577529505994, 9.819745374116332, 6.2730381305384295, 4.364733223360865], Scaled: [ 0.0160988 0.08098452 1.73698589 0.46389935 -0.20148885][0m
[32m2026-06-12 11:12:55.614[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00113136 0.99886864][0m
[32m2026-06-12 11:12:55.614[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.614[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.90 ms.[0m
[32m2026-06-12 11:12:55.615[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:12:55.615[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:12:55.662[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.438374649610186, 'feature_1': 2.780473391948015, 'feature_2': 1.210803687308617, 'feature_3': 0.4935315549075536, 'feature_4': 9.611984049468319}[0m
[32m2026-06-12 11:12:55.663[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.438374649610186, 'feature_1': 2.780473391948015, 'feature_2': 1.210803687308617, 'feature_3': 0.4935315549075536, 'feature_4': 9.611984049468319}[0m
[32m2026-06-12 11:12:55.663[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.438374649610186, 2.780473391948015, 1.210803687308617, 0.4935315549075536, 9.611984049468319], Scaled: [ 1.18001536 -0.71550726 -1.32743483 -1.56233781 1.62845569][0m
[32m2026-06-12 11:12:55.667[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.96708853 0.03291147][0m
[32m2026-06-12 11:12:55.667[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.667[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.23 ms.[0m
[32m2026-06-12 11:12:55.667[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 96.71%)[0m
[32m2026-06-12 11:12:55.667[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 96.71%)[0m
[32m2026-06-12 11:12:55.710[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.213007349486463, 'feature_1': 9.096057326301775, 'feature_2': 0.9333954534237376, 'feature_3': 4.1385300839231505, 'feature_4': 9.289082868937315}[0m
[32m2026-06-12 11:12:55.710[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.213007349486463, 'feature_1': 9.096057326301775, 'feature_2': 0.9333954534237376, 'feature_3': 4.1385300839231505, 'feature_4': 9.289082868937315}[0m
[32m2026-06-12 11:12:55.711[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.213007349486463, 9.096057326301775, 0.9333954534237376, 4.1385300839231505, 9.289082868937315], Scaled: [ 0.76585784 1.36907358 -1.42618048 -0.28443781 1.51584601][0m
[32m2026-06-12 11:12:55.712[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00151647 0.99848353][0m
[32m2026-06-12 11:12:55.712[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.712[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.27 ms.[0m
[32m2026-06-12 11:12:55.712[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.85%)[0m
[32m2026-06-12 11:12:55.712[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.85%)[0m
[32m2026-06-12 11:12:55.758[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.74141827830985, 'feature_1': 7.7205143821579325, 'feature_2': 3.808060042892134, 'feature_3': 2.0288063646310484, 'feature_4': 1.5422861649780018}[0m
[32m2026-06-12 11:12:55.758[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.74141827830985, 'feature_1': 7.7205143821579325, 'feature_2': 3.808060042892134, 'feature_3': 2.0288063646310484, 'feature_4': 1.5422861649780018}[0m
[32m2026-06-12 11:12:55.759[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.74141827830985, 7.7205143821579325, 3.808060042892134, 2.0288063646310484, 1.5422861649780018], Scaled: [ 0.2684807 0.91504898 -0.40292093 -1.02408583 -1.18579887][0m
[32m2026-06-12 11:12:55.761[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99271308 0.00728692][0m
[32m2026-06-12 11:12:55.761[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.761[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.98 ms.[0m
[32m2026-06-12 11:12:55.761[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.27%)[0m
[32m2026-06-12 11:12:55.761[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.27%)[0m
[32m2026-06-12 11:12:55.793[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.340743671033384, 'feature_1': 7.053733524056014, 'feature_2': 9.005066299689641, 'feature_3': 4.44041568863566, 'feature_4': 0.394774375372845}[0m
[32m2026-06-12 11:12:55.793[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.340743671033384, 'feature_1': 7.053733524056014, 'feature_2': 9.005066299689641, 'feature_3': 4.44041568863566, 'feature_4': 0.394774375372845}[0m
[32m2026-06-12 11:12:55.794[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.340743671033384, 7.053733524056014, 9.005066299689641, 4.44041568863566, 0.394774375372845], Scaled: [ 0.47104455 0.69496504 1.44699445 -0.17859974 -1.58598613][0m
[32m2026-06-12 11:12:55.795[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.05399945 0.94600055][0m
[32m2026-06-12 11:12:55.795[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:55.795[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.15 ms.[0m
[32m2026-06-12 11:12:55.795[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 94.60%)[0m
[32m2026-06-12 11:12:55.795[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 94.60%)[0m
[32m2026-06-12 11:12:55.847[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.23392204156258645, 'feature_1': 8.366402159805734, 'feature_2': 4.921128049524739, 'feature_3': 1.4426216120391666, 'feature_4': 8.083836737188363}[0m
[32m2026-06-12 11:12:55.848[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.23392204156258645, 'feature_1': 8.366402159805734, 'feature_2': 4.921128049524739, 'feature_3': 1.4426216120391666, 'feature_4': 8.083836737188363}[0m
[32m2026-06-12 11:12:55.848[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.23392204156258645, 8.366402159805734, 4.921128049524739, 1.4426216120391666, 8.083836737188363], Scaled: [-1.5929783 1.12823676 -0.0067156 -1.22959633 1.09552427][0m
[32m2026-06-12 11:12:55.852[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.91808769 0.08191231][0m
[32m2026-06-12 11:12:55.852[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.852[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.38 ms.[0m
[32m2026-06-12 11:12:55.852[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 91.81%)[0m
[32m2026-06-12 11:12:55.852[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 91.81%)[0m
[32m2026-06-12 11:12:55.927[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.3528323744398927, 'feature_1': 9.280984885184957, 'feature_2': 6.2716746230756995, 'feature_3': 0.8480717764994561, 'feature_4': 5.046669661533203}[0m
[32m2026-06-12 11:12:55.928[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.3528323744398927, 'feature_1': 9.280984885184957, 'feature_2': 6.2716746230756995, 'feature_3': 0.8480717764994561, 'feature_4': 5.046669661533203}[0m
[32m2026-06-12 11:12:55.928[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.3528323744398927, 9.280984885184957, 6.2716746230756995, 0.8480717764994561, 5.046669661533203], Scaled: [-0.53882893 1.4301125 0.47402211 -1.43803956 0.03633204][0m
[32m2026-06-12 11:12:55.934[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.54797761 0.45202239][0m
[32m2026-06-12 11:12:55.934[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.934[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.15 ms.[0m
[32m2026-06-12 11:12:55.934[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 54.80%)[0m
[32m2026-06-12 11:12:55.934[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 54.80%)[0m
[32m2026-06-12 11:12:55.974[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.4968267389793188, 'feature_1': 6.416152696243791, 'feature_2': 8.138008874782658, 'feature_3': 0.7330194326060557, 'feature_4': 5.359309445305738}[0m
[32m2026-06-12 11:12:55.975[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.4968267389793188, 'feature_1': 6.416152696243791, 'feature_2': 8.138008874782658, 'feature_3': 0.7330194326060557, 'feature_4': 5.359309445305738}[0m
[32m2026-06-12 11:12:55.975[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.4968267389793188, 6.416152696243791, 8.138008874782658, 0.7330194326060557, 5.359309445305738], Scaled: [-1.16613365 0.48451914 1.13835852 -1.47837576 0.14536313][0m
[32m2026-06-12 11:12:55.976[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.96699735 0.03300265][0m
[32m2026-06-12 11:12:55.976[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:55.976[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.25 ms.[0m
[32m2026-06-12 11:12:55.977[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 96.70%)[0m
[32m2026-06-12 11:12:55.977[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 96.70%)[0m
[32m2026-06-12 11:12:56.013[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.2439002413271, 'feature_1': 1.6307975480709536, 'feature_2': 9.254741001656592, 'feature_3': 1.6882162301079007, 'feature_4': 4.967097333941545}[0m
[32m2026-06-12 11:12:56.014[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.2439002413271, 'feature_1': 1.6307975480709536, 'feature_2': 9.254741001656592, 'feature_3': 1.6882162301079007, 'feature_4': 4.967097333941545}[0m
[32m2026-06-12 11:12:56.014[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.2439002413271, 1.6307975480709536, 9.254741001656592, 1.6882162301079007, 4.967097333941545], Scaled: [-0.23766008 -1.09498004 1.53586813 -1.14349332 0.00858171][0m
[32m2026-06-12 11:12:56.019[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98018935 0.01981065][0m
[32m2026-06-12 11:12:56.019[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:56.020[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.02 ms.[0m
[32m2026-06-12 11:12:56.020[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.02%)[0m
[32m2026-06-12 11:12:56.020[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.02%)[0m
[32m2026-06-12 11:12:56.053[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.213017409653183, 'feature_1': 7.267392291877625, 'feature_2': 0.7274773924593037, 'feature_3': 5.640048251962182, 'feature_4': 6.2013643019111075}[0m
[32m2026-06-12 11:12:56.053[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.213017409653183, 'feature_1': 7.267392291877625, 'feature_2': 0.7274773924593037, 'feature_3': 5.640048251962182, 'feature_4': 6.2013643019111075}[0m
[32m2026-06-12 11:12:56.054[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.213017409653183, 7.267392291877625, 0.7274773924593037, 5.640048251962182, 6.2013643019111075], Scaled: [ 0.08988837 0.76548726 -1.49947863 0.24197943 0.43902428][0m
[32m2026-06-12 11:12:56.057[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.53477194 0.46522806][0m
[32m2026-06-12 11:12:56.057[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:56.057[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.39 ms.[0m
[32m2026-06-12 11:12:56.057[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 53.48%)[0m
[32m2026-06-12 11:12:56.058[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 53.48%)[0m
[32m2026-06-12 11:12:56.127[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.5517855901020345, 'feature_1': 6.67116383966601, 'feature_2': 7.091480085584063, 'feature_3': 9.168155046970067, 'feature_4': 9.95144358563072}[0m
[32m2026-06-12 11:12:56.127[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.5517855901020345, 'feature_1': 6.67116383966601, 'feature_2': 7.091480085584063, 'feature_3': 9.168155046970067, 'feature_4': 9.95144358563072}[0m
[32m2026-06-12 11:12:56.128[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.5517855901020345, 6.67116383966601, 7.091480085584063, 9.168155046970067, 9.95144358563072], Scaled: [-0.47158544 0.56869051 0.76583834 1.47889836 1.74683999][0m
[32m2026-06-12 11:12:56.131[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.40734129e-06 9.99998593e-01][0m
[32m2026-06-12 11:12:56.131[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.131[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.28 ms.[0m
[32m2026-06-12 11:12:56.131[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:56.131[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:56.195[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.194978429372185, 'feature_1': 5.900452317545131, 'feature_2': 9.361039451899966, 'feature_3': 6.533533094809738, 'feature_4': 7.681321382033381}[0m
[32m2026-06-12 11:12:56.196[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.194978429372185, 'feature_1': 5.900452317545131, 'feature_2': 9.361039451899966, 'feature_3': 6.533533094809738, 'feature_4': 7.681321382033381}[0m
[32m2026-06-12 11:12:56.196[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.194978429372185, 5.900452317545131, 9.361039451899966, 6.533533094809738, 7.681321382033381], Scaled: [1.09775074 0.31430224 1.5737059 0.55522628 0.95514967][0m
[32m2026-06-12 11:12:56.198[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.97937469e-07 9.99999702e-01][0m
[32m2026-06-12 11:12:56.198[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.198[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.92 ms.[0m
[32m2026-06-12 11:12:56.199[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:56.199[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:56.263[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.027282509726668, 'feature_1': 5.522397167976459, 'feature_2': 0.33091145369622543, 'feature_3': 8.634569403381054, 'feature_4': 8.835164520521747}[0m
[32m2026-06-12 11:12:56.263[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.027282509726668, 'feature_1': 5.522397167976459, 'feature_2': 0.33091145369622543, 'feature_3': 8.634569403381054, 'feature_4': 8.835164520521747}[0m
[32m2026-06-12 11:12:56.264[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.027282509726668, 5.522397167976459, 0.33091145369622543, 8.634569403381054, 8.835164520521747], Scaled: [ 1.37905822 0.18951781 -1.64063941 1.29182858 1.35754494][0m
[32m2026-06-12 11:12:56.268[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.26096909e-04 9.99773903e-01][0m
[32m2026-06-12 11:12:56.268[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.268[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.24 ms.[0m
[32m2026-06-12 11:12:56.268[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:56.268[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:56.304[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.531810959639367, 'feature_1': 4.481934098252616, 'feature_2': 7.345680216453906, 'feature_3': 1.0322749630342754, 'feature_4': 8.80533376791851}[0m
[32m2026-06-12 11:12:56.305[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.531810959639367, 'feature_1': 4.481934098252616, 'feature_2': 7.345680216453906, 'feature_3': 1.0322749630342754, 'feature_4': 8.80533376791851}[0m
[32m2026-06-12 11:12:56.305[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.531810959639367, 4.481934098252616, 7.345680216453906, 1.0322749630342754, 8.80533376791851], Scaled: [-0.14035016 -0.15390718 0.85632288 -1.37345976 1.34714166][0m
[32m2026-06-12 11:12:56.315[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.22339344 0.77660656][0m
[32m2026-06-12 11:12:56.315[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.315[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.90 ms.[0m
[32m2026-06-12 11:12:56.316[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 77.66%)[0m
[32m2026-06-12 11:12:56.316[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 77.66%)[0m
[32m2026-06-12 11:12:56.370[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.7496067134127593, 'feature_1': 6.641695056816964, 'feature_2': 9.765377242373434, 'feature_3': 8.013120836201647, 'feature_4': 8.848157258508474}[0m
[32m2026-06-12 11:12:56.371[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.7496067134127593, 'feature_1': 6.641695056816964, 'feature_2': 9.765377242373434, 'feature_3': 8.013120836201647, 'feature_4': 8.848157258508474}[0m
[32m2026-06-12 11:12:56.371[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.7496067134127593, 6.641695056816964, 9.765377242373434, 8.013120836201647, 8.848157258508474], Scaled: [-1.41868388 0.55896376 1.71763313 1.07395493 1.36207608][0m
[32m2026-06-12 11:12:56.377[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.20705406e-05 9.99977929e-01][0m
[32m2026-06-12 11:12:56.377[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.377[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.43 ms.[0m
[32m2026-06-12 11:12:56.377[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:56.377[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:56.442[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.823197247828962, 'feature_1': 4.5663382449993115, 'feature_2': 5.8851874679550615, 'feature_3': 3.725267536912409, 'feature_4': 8.868785831598768}[0m
[32m2026-06-12 11:12:56.443[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.823197247828962, 'feature_1': 4.5663382449993115, 'feature_2': 5.8851874679550615, 'feature_3': 3.725267536912409, 'feature_4': 8.868785831598768}[0m
[32m2026-06-12 11:12:56.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.823197247828962, 4.5663382449993115, 5.8851874679550615, 3.725267536912409, 8.868785831598768], Scaled: [-0.37985198 -0.12604796 0.33644896 -0.42932352 1.36927016][0m
[32m2026-06-12 11:12:56.448[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.11744887 0.88255113][0m
[32m2026-06-12 11:12:56.448[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.448[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.32 ms.[0m
[32m2026-06-12 11:12:56.448[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 88.26%)[0m
[32m2026-06-12 11:12:56.448[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 88.26%)[0m
[32m2026-06-12 11:12:56.514[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.591276127985832, 'feature_1': 2.074343568988253, 'feature_2': 5.734167625876081, 'feature_3': 2.545965932567189, 'feature_4': 8.953916521109882}[0m
[32m2026-06-12 11:12:56.515[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.591276127985832, 'feature_1': 2.074343568988253, 'feature_2': 5.734167625876081, 'feature_3': 2.545965932567189, 'feature_4': 8.953916521109882}[0m
[32m2026-06-12 11:12:56.515[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.591276127985832, 2.074343568988253, 5.734167625876081, 2.545965932567189, 8.953916521109882], Scaled: [-0.45823818 -0.94857908 0.28269226 -0.84277486 1.39895893][0m
[32m2026-06-12 11:12:56.521[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9417138 0.0582862][0m
[32m2026-06-12 11:12:56.521[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:56.521[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.43 ms.[0m
[32m2026-06-12 11:12:56.521[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 94.17%)[0m
[32m2026-06-12 11:12:56.521[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 94.17%)[0m
[32m2026-06-12 11:12:56.582[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.580939153113211, 'feature_1': 7.818769155425111, 'feature_2': 3.3877759884210468, 'feature_3': 7.528169404984094, 'feature_4': 3.5247332688398316}[0m
[32m2026-06-12 11:12:56.582[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.580939153113211, 'feature_1': 7.818769155425111, 'feature_2': 3.3877759884210468, 'feature_3': 7.528169404984094, 'feature_4': 3.5247332688398316}[0m
[32m2026-06-12 11:12:56.583[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.580939153113211, 7.818769155425111, 3.3877759884210468, 7.528169404984094, 3.5247332688398316], Scaled: [-0.46173193 0.94747987 -0.55252436 0.90393581 -0.49443336][0m
[32m2026-06-12 11:12:56.586[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.27047267 0.72952733][0m
[32m2026-06-12 11:12:56.586[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.586[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.26 ms.[0m
[32m2026-06-12 11:12:56.586[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 72.95%)[0m
[32m2026-06-12 11:12:56.586[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 72.95%)[0m
[32m2026-06-12 11:12:56.624[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.029911634397926, 'feature_1': 2.6579181409919883, 'feature_2': 7.43815852686547, 'feature_3': 1.1885773573721836, 'feature_4': 9.225800549229383}[0m
[32m2026-06-12 11:12:56.625[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.029911634397926, 'feature_1': 2.6579181409919883, 'feature_2': 7.43815852686547, 'feature_3': 1.1885773573721836, 'feature_4': 9.225800549229383}[0m
[32m2026-06-12 11:12:56.625[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.029911634397926, 2.6579181409919883, 7.43815852686547, 1.1885773573721836, 9.225800549229383], Scaled: [ 1.0419604 -0.75595899 0.88924126 -1.31866171 1.49377671][0m
[32m2026-06-12 11:12:56.629[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01879807 0.98120193][0m
[32m2026-06-12 11:12:56.629[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.629[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.30 ms.[0m
[32m2026-06-12 11:12:56.629[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.12%)[0m
[32m2026-06-12 11:12:56.629[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.12%)[0m
[32m2026-06-12 11:12:56.694[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.9451102829259295, 'feature_1': 0.8488033468206779, 'feature_2': 4.932776034993194, 'feature_3': 9.155746780324662, 'feature_4': 8.363012480441093}[0m
[32m2026-06-12 11:12:56.695[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.9451102829259295, 'feature_1': 0.8488033468206779, 'feature_2': 4.932776034993194, 'feature_3': 9.155746780324662, 'feature_4': 8.363012480441093}[0m
[32m2026-06-12 11:12:56.696[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.9451102829259295, 0.8488033468206779, 4.932776034993194, 9.155746780324662, 8.363012480441093], Scaled: [-6.60600900e-04 -1.35309238e+00 -2.56940290e-03 1.47454815e+00
1.19288500e+00][0m
[32m2026-06-12 11:12:56.697[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.0277909 0.9722091][0m
[32m2026-06-12 11:12:56.697[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.697[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.13 ms.[0m
[32m2026-06-12 11:12:56.697[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.22%)[0m
[32m2026-06-12 11:12:56.697[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.22%)[0m
[32m2026-06-12 11:12:56.753[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.571167522595232, 'feature_1': 9.084531556734536, 'feature_2': 6.203036907564171, 'feature_3': 2.694878043756499, 'feature_4': 6.817801119179485}[0m
[32m2026-06-12 11:12:56.753[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.571167522595232, 'feature_1': 9.084531556734536, 'feature_2': 6.203036907564171, 'feature_3': 2.694878043756499, 'feature_4': 6.817801119179485}[0m
[32m2026-06-12 11:12:56.754[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.571167522595232, 9.084531556734536, 6.203036907564171, 2.694878043756499, 6.817801119179485], Scaled: [ 0.88691111 1.36526928 0.44958998 -0.79056776 0.6540026 ][0m
[32m2026-06-12 11:12:56.755[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.60864254e-04 9.99839136e-01][0m
[32m2026-06-12 11:12:56.755[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.755[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.29 ms.[0m
[32m2026-06-12 11:12:56.755[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:56.756[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:56.825[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.8588082744378, 'feature_1': 1.38377904501791, 'feature_2': 1.209287757604055, 'feature_3': 4.387310282093595, 'feature_4': 9.123573911527338}[0m
[32m2026-06-12 11:12:56.826[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.8588082744378, 'feature_1': 1.38377904501791, 'feature_2': 1.209287757604055, 'feature_3': 4.387310282093595, 'feature_4': 9.123573911527338}[0m
[32m2026-06-12 11:12:56.826[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.8588082744378, 1.38377904501791, 1.209287757604055, 4.387310282093595, 9.123573911527338], Scaled: [ 0.98412979 -1.17651328 -1.32797443 -0.19721796 1.45812584][0m
[32m2026-06-12 11:12:56.830[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.84398614 0.15601386][0m
[32m2026-06-12 11:12:56.830[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:56.830[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.34 ms.[0m
[32m2026-06-12 11:12:56.830[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 84.40%)[0m
[32m2026-06-12 11:12:56.830[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 84.40%)[0m
[32m2026-06-12 11:12:56.862[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.3679939809019883, 'feature_1': 3.2778057937989935, 'feature_2': 1.882648950058019, 'feature_3': 9.424258262436044, 'feature_4': 4.379227295840904}[0m
[32m2026-06-12 11:12:56.862[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.3679939809019883, 'feature_1': 3.2778057937989935, 'feature_2': 1.882648950058019, 'feature_3': 9.424258262436044, 'feature_4': 4.379227295840904}[0m
[32m2026-06-12 11:12:56.863[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.3679939809019883, 3.2778057937989935, 1.882648950058019, 9.424258262436044, 4.379227295840904], Scaled: [-1.54766381 -0.55135306 -1.0882862 1.56868559 -0.19643413][0m
[32m2026-06-12 11:12:56.864[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99012458e-01 9.87542142e-04][0m
[32m2026-06-12 11:12:56.868[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:56.868[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.62 ms.[0m
[32m2026-06-12 11:12:56.868[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:56.868[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.90%)[0m
[32m2026-06-12 11:12:56.926[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.4555033078361657, 'feature_1': 8.318260203963565, 'feature_2': 9.156955094795347, 'feature_3': 8.761069143011225, 'feature_4': 4.457779510694426}[0m
[32m2026-06-12 11:12:56.927[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.4555033078361657, 'feature_1': 8.318260203963565, 'feature_2': 9.156955094795347, 'feature_3': 8.761069143011225, 'feature_4': 4.457779510694426}[0m
[32m2026-06-12 11:12:56.927[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.4555033078361657, 8.318260203963565, 9.156955094795347, 8.761069143011225, 4.457779510694426], Scaled: [-1.18010041 1.11234657 1.50106046 1.33617812 -0.16903956][0m
[32m2026-06-12 11:12:56.929[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.72832363e-04 9.99827168e-01][0m
[32m2026-06-12 11:12:56.929[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.929[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.14 ms.[0m
[32m2026-06-12 11:12:56.929[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:56.929[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:56.965[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.556466327624868, 'feature_1': 2.7351491125908134, 'feature_2': 6.0903337795540216, 'feature_3': 9.274878290423844, 'feature_4': 0.008068541357103554}[0m
[32m2026-06-12 11:12:56.965[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.556466327624868, 'feature_1': 2.7351491125908134, 'feature_2': 6.0903337795540216, 'feature_3': 9.274878290423844, 'feature_4': 0.008068541357103554}[0m
[32m2026-06-12 11:12:56.966[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.556466327624868, 2.7351491125908134, 6.0903337795540216, 9.274878290423844, 0.008068541357103554], Scaled: [ 1.55791517 -0.73046741 0.40947241 1.51631446 -1.72084727][0m
[32m2026-06-12 11:12:56.967[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03971048 0.96028952][0m
[32m2026-06-12 11:12:56.967[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:56.967[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.20 ms.[0m
[32m2026-06-12 11:12:56.967[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.03%)[0m
[32m2026-06-12 11:12:56.967[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.03%)[0m
[32m2026-06-12 11:12:57.038[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.172683893275292, 'feature_1': 8.329818435558135, 'feature_2': 5.512963406128263, 'feature_3': 6.9761680661147585, 'feature_4': 8.991840142967964}[0m
[32m2026-06-12 11:12:57.039[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.172683893275292, 'feature_1': 8.329818435558135, 'feature_2': 5.512963406128263, 'feature_3': 6.9761680661147585, 'feature_4': 8.991840142967964}[0m
[32m2026-06-12 11:12:57.040[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.172683893275292, 8.329818435558135, 5.512963406128263, 6.9761680661147585, 8.991840142967964], Scaled: [-0.59971667 1.11616159 0.20395287 0.71040967 1.41218455][0m
[32m2026-06-12 11:12:57.041[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [8.32651997e-05 9.99916735e-01][0m
[32m2026-06-12 11:12:57.041[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:57.041[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.21 ms.[0m
[32m2026-06-12 11:12:57.041[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:57.041[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:12:57.099[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.460733818654849, 'feature_1': 6.184702588912495, 'feature_2': 3.8946498427106535, 'feature_3': 2.249968610561596, 'feature_4': 5.061883044454294}[0m
[32m2026-06-12 11:12:57.099[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.460733818654849, 'feature_1': 6.184702588912495, 'feature_2': 3.8946498427106535, 'feature_3': 2.249968610561596, 'feature_4': 5.061883044454294}[0m
[32m2026-06-12 11:12:57.100[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.460733818654849, 6.184702588912495, 3.8946498427106535, 2.249968610561596, 5.061883044454294], Scaled: [ 0.51159959 0.40812455 -0.37209861 -0.94654856 0.04163761][0m
[32m2026-06-12 11:12:57.104[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.81537221 0.18462779][0m
[32m2026-06-12 11:12:57.104[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.104[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.35 ms.[0m
[32m2026-06-12 11:12:57.104[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 81.54%)[0m
[32m2026-06-12 11:12:57.104[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 81.54%)[0m
[32m2026-06-12 11:12:57.149[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9456047688072164, 'feature_1': 5.692411023846605, 'feature_2': 3.0830227325147463, 'feature_3': 7.502576260527448, 'feature_4': 2.0717721080974205}[0m
[32m2026-06-12 11:12:57.150[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9456047688072164, 'feature_1': 5.692411023846605, 'feature_2': 3.0830227325147463, 'feature_3': 7.502576260527448, 'feature_4': 2.0717721080974205}[0m
[32m2026-06-12 11:12:57.150[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9456047688072164, 5.692411023846605, 3.0830227325147463, 7.502576260527448, 2.0717721080974205], Scaled: [-0.67646633 0.24563418 -0.66100369 0.89496311 -1.0011441 ][0m
[32m2026-06-12 11:12:57.154[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98825 0.01175][0m
[32m2026-06-12 11:12:57.155[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.155[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.17 ms.[0m
[32m2026-06-12 11:12:57.155[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.82%)[0m
[32m2026-06-12 11:12:57.155[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.82%)[0m
[32m2026-06-12 11:12:57.215[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.3280632920025084, 'feature_1': 0.6546364072318156, 'feature_2': 8.088025583122784, 'feature_3': 6.551160574284785, 'feature_4': 5.981518660609929}[0m
[32m2026-06-12 11:12:57.216[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.3280632920025084, 'feature_1': 0.6546364072318156, 'feature_2': 8.088025583122784, 'feature_3': 6.551160574284785, 'feature_4': 5.981518660609929}[0m
[32m2026-06-12 11:12:57.216[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.3280632920025084, 0.6546364072318156, 8.088025583122784, 6.551160574284785, 5.981518660609929], Scaled: [-1.56115984 -1.41718094 1.12056657 0.56140629 0.36235454][0m
[32m2026-06-12 11:12:57.220[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98479334 0.01520666][0m
[32m2026-06-12 11:12:57.220[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.220[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.18 ms.[0m
[32m2026-06-12 11:12:57.220[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.48%)[0m
[32m2026-06-12 11:12:57.220[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.48%)[0m
[32m2026-06-12 11:12:57.254[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.917479816000237, 'feature_1': 4.685742800311768, 'feature_2': 1.585202553777203, 'feature_3': 1.2528603729001342, 'feature_4': 6.356490313304627}[0m
[32m2026-06-12 11:12:57.254[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.917479816000237, 'feature_1': 4.685742800311768, 'feature_2': 1.585202553777203, 'feature_3': 1.2528603729001342, 'feature_4': 6.356490313304627}[0m
[32m2026-06-12 11:12:57.255[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.917479816000237, 4.685742800311768, 1.585202553777203, 1.2528603729001342, 6.356490313304627], Scaled: [ 0.32798711 -0.08663617 -1.1941646 -1.29612473 0.49312346][0m
[32m2026-06-12 11:12:57.256[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99843143 0.00156857][0m
[32m2026-06-12 11:12:57.256[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.256[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.02 ms.[0m
[32m2026-06-12 11:12:57.258[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.84%)[0m
[32m2026-06-12 11:12:57.258[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.84%)[0m
[32m2026-06-12 11:12:57.331[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.737477581193967, 'feature_1': 7.608102951786623, 'feature_2': 0.7878908487410163, 'feature_3': 3.393465761638189, 'feature_4': 6.471256677875124}[0m
[32m2026-06-12 11:12:57.332[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.737477581193967, 'feature_1': 7.608102951786623, 'feature_2': 0.7878908487410163, 'feature_3': 3.393465761638189, 'feature_4': 6.471256677875124}[0m
[32m2026-06-12 11:12:57.332[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.737477581193967, 7.608102951786623, 0.7878908487410163, 3.393465761638189, 6.471256677875124], Scaled: [ 0.26714879 0.87794541 -1.47797399 -0.5456499 0.53314748][0m
[32m2026-06-12 11:12:57.335[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.80184188 0.19815812][0m
[32m2026-06-12 11:12:57.336[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.336[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.28 ms.[0m
[32m2026-06-12 11:12:57.336[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 80.18%)[0m
[32m2026-06-12 11:12:57.336[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 80.18%)[0m
[32m2026-06-12 11:12:57.384[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.734594514855914, 'feature_1': 2.337257976515321, 'feature_2': 3.7593906749283947, 'feature_3': 7.894115279353989, 'feature_4': 2.844221722455764}[0m
[32m2026-06-12 11:12:57.385[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.734594514855914, 'feature_1': 2.337257976515321, 'feature_2': 3.7593906749283947, 'feature_3': 7.894115279353989, 'feature_4': 2.844221722455764}[0m
[32m2026-06-12 11:12:57.390[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.734594514855914, 2.337257976515321, 3.7593906749283947, 7.894115279353989, 2.844221722455764], Scaled: [ 0.26617436 -0.86179909 -0.42024518 1.03223277 -0.73175733][0m
[32m2026-06-12 11:12:57.400[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.95373995 0.04626005][0m
[32m2026-06-12 11:12:57.400[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.401[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 10.64 ms.[0m
[32m2026-06-12 11:12:57.401[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 95.37%)[0m
[32m2026-06-12 11:12:57.401[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 95.37%)[0m
[32m2026-06-12 11:12:57.440[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.183595342651527, 'feature_1': 0.5698615718354216, 'feature_2': 8.20192953611201, 'feature_3': 5.394278620870397, 'feature_4': 0.4627717250828334}[0m
[32m2026-06-12 11:12:57.440[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.183595342651527, 'feature_1': 0.5698615718354216, 'feature_2': 8.20192953611201, 'feature_3': 5.394278620870397, 'feature_4': 0.4627717250828334}[0m
[32m2026-06-12 11:12:57.441[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.183595342651527, 0.5698615718354216, 8.20192953611201, 5.394278620870397, 0.4627717250828334], Scaled: [-0.59602875 -1.44516251 1.16111158 0.15581506 -1.5622725 ][0m
[32m2026-06-12 11:12:57.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99801827e-01 1.98172794e-04][0m
[32m2026-06-12 11:12:57.443[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.20 ms.[0m
[32m2026-06-12 11:12:57.443[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:57.443[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:57.503[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.2768853373549085, 'feature_1': 4.850469060653237, 'feature_2': 2.1028979346298304, 'feature_3': 9.851039593962104, 'feature_4': 7.736000191696027}[0m
[32m2026-06-12 11:12:57.503[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.2768853373549085, 'feature_1': 4.850469060653237, 'feature_2': 2.1028979346298304, 'feature_3': 9.851039593962104, 'feature_4': 7.736000191696027}[0m
[32m2026-06-12 11:12:57.504[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.2768853373549085, 4.850469060653237, 2.1028979346298304, 9.851039593962104, 7.736000191696027], Scaled: [ 0.4494613 -0.03226508 -1.00988684 1.71831085 0.97421854][0m
[32m2026-06-12 11:12:57.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00128363 0.99871637][0m
[32m2026-06-12 11:12:57.505[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:57.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.12 ms.[0m
[32m2026-06-12 11:12:57.506[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.87%)[0m
[32m2026-06-12 11:12:57.506[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.87%)[0m
[32m2026-06-12 11:12:57.552[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.6131908787790445, 'feature_1': 1.6566274288224314, 'feature_2': 2.911452628961216, 'feature_3': 4.325486334651245, 'feature_4': 5.404243701362445}[0m
[32m2026-06-12 11:12:57.552[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.6131908787790445, 'feature_1': 1.6566274288224314, 'feature_2': 2.911452628961216, 'feature_3': 4.325486334651245, 'feature_4': 5.404243701362445}[0m
[32m2026-06-12 11:12:57.553[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.6131908787790445, 1.6566274288224314, 2.911452628961216, 4.325486334651245, 5.404243701362445], Scaled: [-0.11284486 -1.08645439 -0.72207542 -0.21889282 0.16103366][0m
[32m2026-06-12 11:12:57.560[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99451406e-01 5.48594285e-04][0m
[32m2026-06-12 11:12:57.560[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.561[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.28 ms.[0m
[32m2026-06-12 11:12:57.561[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:57.561[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:12:57.625[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.6288691711236638, 'feature_1': 1.8068092703299132, 'feature_2': 3.7972682872369456, 'feature_3': 3.4173103434119456, 'feature_4': 4.642400780660264}[0m
[32m2026-06-12 11:12:57.626[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.6288691711236638, 'feature_1': 1.8068092703299132, 'feature_2': 3.7972682872369456, 'feature_3': 3.4173103434119456, 'feature_4': 4.642400780660264}[0m
[32m2026-06-12 11:12:57.626[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.6288691711236638, 1.8068092703299132, 3.7972682872369456, 3.4173103434119456, 4.642400780660264], Scaled: [-1.45949153 -1.03688396 -0.40676234 -0.53729023 -0.1046541 ][0m
[32m2026-06-12 11:12:57.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99997575e-01 2.42495865e-06][0m
[32m2026-06-12 11:12:57.636[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.23 ms.[0m
[32m2026-06-12 11:12:57.636[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:57.636[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:57.687[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.869605900866638, 'feature_1': 8.938967402383469, 'feature_2': 1.136091893207144, 'feature_3': 5.435543278474353, 'feature_4': 2.668425092693416}[0m
[32m2026-06-12 11:12:57.687[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.869605900866638, 'feature_1': 8.938967402383469, 'feature_2': 1.136091893207144, 'feature_3': 5.435543278474353, 'feature_4': 2.668425092693416}[0m
[32m2026-06-12 11:12:57.688[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.869605900866638, 8.938967402383469, 1.136091893207144, 5.435543278474353, 2.668425092693416], Scaled: [ 0.64979281 1.31722301 -1.35402908 0.17028204 -0.79306526][0m
[32m2026-06-12 11:12:57.693[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.49551821 0.50448179][0m
[32m2026-06-12 11:12:57.693[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:57.693[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.37 ms.[0m
[32m2026-06-12 11:12:57.693[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 50.45%)[0m
[32m2026-06-12 11:12:57.693[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 50.45%)[0m
[32m2026-06-12 11:12:57.729[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.9974728699398647, 'feature_1': 6.992031575416258, 'feature_2': 7.742685276606046, 'feature_3': 4.254090941438623, 'feature_4': 3.3239492859199258}[0m
[32m2026-06-12 11:12:57.730[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.9974728699398647, 'feature_1': 6.992031575416258, 'feature_2': 7.742685276606046, 'feature_3': 4.254090941438623, 'feature_4': 3.3239492859199258}[0m
[32m2026-06-12 11:12:57.730[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.9974728699398647, 6.992031575416258, 7.742685276606046, 4.254090941438623, 3.3239492859199258], Scaled: [-0.99692205 0.67459912 0.99763996 -0.24392333 -0.56445546][0m
[32m2026-06-12 11:12:57.734[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.67310466 0.32689534][0m
[32m2026-06-12 11:12:57.734[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.734[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.32 ms.[0m
[32m2026-06-12 11:12:57.734[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 67.31%)[0m
[32m2026-06-12 11:12:57.734[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 67.31%)[0m
[32m2026-06-12 11:12:57.777[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.830812232194724, 'feature_1': 0.4464121796474285, 'feature_2': 8.763894721419371, 'feature_3': 7.1881734665968295, 'feature_4': 5.113418095481194}[0m
[32m2026-06-12 11:12:57.777[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.830812232194724, 'feature_1': 0.4464121796474285, 'feature_2': 8.763894721419371, 'feature_3': 7.1881734665968295, 'feature_4': 5.113418095481194}[0m
[32m2026-06-12 11:12:57.781[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.830812232194724, 0.4464121796474285, 8.763894721419371, 7.1881734665968295, 5.113418095481194], Scaled: [ 0.29869464 -1.48590938 1.36114752 0.78473664 0.05961012][0m
[32m2026-06-12 11:12:57.784[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.06477508 0.93522492][0m
[32m2026-06-12 11:12:57.784[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:57.784[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.68 ms.[0m
[32m2026-06-12 11:12:57.784[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 93.52%)[0m
[32m2026-06-12 11:12:57.785[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 93.52%)[0m
[32m2026-06-12 11:12:57.826[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.186916133050562, 'feature_1': 9.511299234364547, 'feature_2': 4.887041637661409, 'feature_3': 2.6472173526152174, 'feature_4': 0.4623847887182486}[0m
[32m2026-06-12 11:12:57.826[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.186916133050562, 'feature_1': 9.511299234364547, 'feature_2': 4.887041637661409, 'feature_3': 2.6472173526152174, 'feature_4': 0.4623847887182486}[0m
[32m2026-06-12 11:12:57.827[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.186916133050562, 9.511299234364547, 4.887041637661409, 2.6472173526152174, 0.4623847887182486], Scaled: [ 0.75703936 1.50613222 -0.01884892 -0.80727712 -1.56240744][0m
[32m2026-06-12 11:12:57.828[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.55534451 0.44465549][0m
[32m2026-06-12 11:12:57.828[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.828[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.14 ms.[0m
[32m2026-06-12 11:12:57.828[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 55.53%)[0m
[32m2026-06-12 11:12:57.829[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 55.53%)[0m
[32m2026-06-12 11:12:57.859[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.067214438748536, 'feature_1': 7.456915834336959, 'feature_2': 1.058191936946653, 'feature_3': 7.0589311559019325, 'feature_4': 0.7905731726301879}[0m
[32m2026-06-12 11:12:57.859[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.067214438748536, 'feature_1': 7.456915834336959, 'feature_2': 1.058191936946653, 'feature_3': 7.0589311559019325, 'feature_4': 0.7905731726301879}[0m
[32m2026-06-12 11:12:57.860[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.067214438748536, 7.456915834336959, 1.058191936946653, 7.0589311559019325, 0.7905731726301879], Scaled: [ 1.05456824 0.82804317 -1.38175818 0.73942558 -1.44795388][0m
[32m2026-06-12 11:12:57.862[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.66826952 0.33173048][0m
[32m2026-06-12 11:12:57.862[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.862[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.51 ms.[0m
[32m2026-06-12 11:12:57.862[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 66.83%)[0m
[32m2026-06-12 11:12:57.862[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 66.83%)[0m
[32m2026-06-12 11:12:57.912[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.7160921917411507, 'feature_1': 0.21919537014372548, 'feature_2': 2.4910611838500465, 'feature_3': 9.61832078756819, 'feature_4': 8.933789012243196}[0m
[32m2026-06-12 11:12:57.913[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.7160921917411507, 'feature_1': 0.21919537014372548, 'feature_2': 2.4910611838500465, 'feature_3': 9.61832078756819, 'feature_4': 8.933789012243196}[0m
[32m2026-06-12 11:12:57.913[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.7160921917411507, 0.21919537014372548, 2.4910611838500465, 9.61832078756819, 8.933789012243196], Scaled: [-0.41605204 -1.56090669 -0.87171707 1.63672197 1.39193959][0m
[32m2026-06-12 11:12:57.917[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.60542644 0.39457356][0m
[32m2026-06-12 11:12:57.917[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.917[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.28 ms.[0m
[32m2026-06-12 11:12:57.917[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 60.54%)[0m
[32m2026-06-12 11:12:57.917[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 60.54%)[0m
[32m2026-06-12 11:12:57.979[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.924882634148081, 'feature_1': 4.248562440400704, 'feature_2': 3.6211448389310763, 'feature_3': 0.6451239093428918, 'feature_4': 3.450336150879252}[0m
[32m2026-06-12 11:12:57.979[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.924882634148081, 'feature_1': 4.248562440400704, 'feature_2': 3.6211448389310763, 'feature_3': 0.6451239093428918, 'feature_4': 3.450336150879252}[0m
[32m2026-06-12 11:12:57.980[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.924882634148081, 4.248562440400704, 3.6211448389310763, 0.6451239093428918, 3.450336150879252], Scaled: [ 0.33048916 -0.23093602 -0.46945488 -1.50919105 -0.52037887][0m
[32m2026-06-12 11:12:57.981[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99814105e-01 1.85895407e-04][0m
[32m2026-06-12 11:12:57.981[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:57.981[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.36 ms.[0m
[32m2026-06-12 11:12:57.981[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:57.981[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:58.028[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.5814000279327467, 'feature_1': 7.113313292334704, 'feature_2': 4.657866463241689, 'feature_3': 2.9363511373589657, 'feature_4': 6.785198132765636}[0m
[32m2026-06-12 11:12:58.028[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.5814000279327467, 'feature_1': 7.113313292334704, 'feature_2': 4.657866463241689, 'feature_3': 2.9363511373589657, 'feature_4': 6.785198132765636}[0m
[32m2026-06-12 11:12:58.029[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.5814000279327467, 7.113313292334704, 4.657866463241689, 2.9363511373589657, 6.785198132765636], Scaled: [-1.13754903 0.7146305 -0.10042563 -0.70590971 0.64263252][0m
[32m2026-06-12 11:12:58.032[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.91594616 0.08405384][0m
[32m2026-06-12 11:12:58.033[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.033[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.17 ms.[0m
[32m2026-06-12 11:12:58.033[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 91.59%)[0m
[32m2026-06-12 11:12:58.033[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 91.59%)[0m
[32m2026-06-12 11:12:58.102[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.950925914106836, 'feature_1': 2.3673707516349243, 'feature_2': 4.419053137229706, 'feature_3': 2.4037486798086984, 'feature_4': 5.470397473799938}[0m
[32m2026-06-12 11:12:58.103[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.950925914106836, 'feature_1': 2.3673707516349243, 'feature_2': 4.419053137229706, 'feature_3': 2.4037486798086984, 'feature_4': 5.470397473799938}[0m
[32m2026-06-12 11:12:58.103[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.950925914106836, 2.3673707516349243, 4.419053137229706, 2.4037486798086984, 5.470397473799938], Scaled: [ 1.35325073 -0.85185978 -0.18543312 -0.8926348 0.18410436][0m
[32m2026-06-12 11:12:58.107[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.86828045 0.13171955][0m
[32m2026-06-12 11:12:58.107[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.107[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.53 ms.[0m
[32m2026-06-12 11:12:58.107[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 86.83%)[0m
[32m2026-06-12 11:12:58.107[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 86.83%)[0m
[32m2026-06-12 11:12:58.182[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.414311255371922, 'feature_1': 4.642099031291217, 'feature_2': 1.6672029079359918, 'feature_3': 4.750227217444659, 'feature_4': 1.5875881390898128}[0m
[32m2026-06-12 11:12:58.183[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.414311255371922, 'feature_1': 4.642099031291217, 'feature_2': 1.6672029079359918, 'feature_3': 4.750227217444659, 'feature_4': 1.5875881390898128}[0m
[32m2026-06-12 11:12:58.183[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.414311255371922, 4.642099031291217, 1.6672029079359918, 4.750227217444659, 1.5875881390898128], Scaled: [ 1.50986869 -0.10104165 -1.16497592 -0.06998292 -1.1700001 ][0m
[32m2026-06-12 11:12:58.189[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97390428 0.02609572][0m
[32m2026-06-12 11:12:58.189[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.189[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.23 ms.[0m
[32m2026-06-12 11:12:58.189[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.39%)[0m
[32m2026-06-12 11:12:58.189[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.39%)[0m
[32m2026-06-12 11:12:58.230[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.286584284691271, 'feature_1': 2.8307814506176054, 'feature_2': 4.271363895485076, 'feature_3': 9.184858414430346, 'feature_4': 2.137017469697403}[0m
[32m2026-06-12 11:12:58.230[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.286584284691271, 'feature_1': 2.8307814506176054, 'feature_2': 4.271363895485076, 'feature_3': 9.184858414430346, 'feature_4': 2.137017469697403}[0m
[32m2026-06-12 11:12:58.231[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.286584284691271, 2.8307814506176054, 4.271363895485076, 9.184858414430346, 2.137017469697403], Scaled: [ 0.79072584 -0.69890211 -0.23800427 1.4847544 -0.9783902 ][0m
[32m2026-06-12 11:12:58.232[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.31936621 0.68063379][0m
[32m2026-06-12 11:12:58.236[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.236[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.66 ms.[0m
[32m2026-06-12 11:12:58.236[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 68.06%)[0m
[32m2026-06-12 11:12:58.236[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 68.06%)[0m
[32m2026-06-12 11:12:58.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.844357784796061, 'feature_1': 8.435731893059295, 'feature_2': 8.629777944638745, 'feature_3': 8.740882900977645, 'feature_4': 0.8467200720264478}[0m
[32m2026-06-12 11:12:58.303[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.844357784796061, 'feature_1': 8.435731893059295, 'feature_2': 8.629777944638745, 'feature_3': 8.740882900977645, 'feature_4': 0.8467200720264478}[0m
[32m2026-06-12 11:12:58.304[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.844357784796061, 8.435731893059295, 8.629777944638745, 8.740882900977645, 0.8467200720264478], Scaled: [-0.03471358 1.15112038 1.3134076 1.32910102 -1.42837301][0m
[32m2026-06-12 11:12:58.307[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.45576065e-04 9.99654424e-01][0m
[32m2026-06-12 11:12:58.307[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.307[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.91 ms.[0m
[32m2026-06-12 11:12:58.307[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:58.311[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:58.386[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.3331283828444809, 'feature_1': 5.101660524709284, 'feature_2': 6.932410688396674, 'feature_3': 0.6469312825389995, 'feature_4': 5.106183251786498}[0m
[32m2026-06-12 11:12:58.387[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.3331283828444809, 'feature_1': 5.101660524709284, 'feature_2': 6.932410688396674, 'feature_3': 0.6469312825389995, 'feature_4': 5.106183251786498}[0m
[32m2026-06-12 11:12:58.388[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.3331283828444809, 5.101660524709284, 6.932410688396674, 0.6469312825389995, 5.106183251786498], Scaled: [-1.55944791 0.05064553 0.70921633 -1.5085574 0.05708702][0m
[32m2026-06-12 11:12:58.389[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99730752e-01 2.69247724e-04][0m
[32m2026-06-12 11:12:58.389[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.389[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.54 ms.[0m
[32m2026-06-12 11:12:58.389[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:58.389[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:12:58.434[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9961021266392285, 'feature_1': 3.5091406514437065, 'feature_2': 1.2630955820550593, 'feature_3': 9.409021751906636, 'feature_4': 7.256650789128343}[0m
[32m2026-06-12 11:12:58.434[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9961021266392285, 'feature_1': 3.5091406514437065, 'feature_2': 1.2630955820550593, 'feature_3': 9.409021751906636, 'feature_4': 7.256650789128343}[0m
[32m2026-06-12 11:12:58.435[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9961021266392285, 3.5091406514437065, 1.2630955820550593, 9.409021751906636, 7.256650789128343], Scaled: [-0.65939891 -0.47499651 -1.30882111 1.56334382 0.80704856][0m
[32m2026-06-12 11:12:58.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.72429491 0.27570509][0m
[32m2026-06-12 11:12:58.443[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.31 ms.[0m
[32m2026-06-12 11:12:58.443[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 72.43%)[0m
[32m2026-06-12 11:12:58.443[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 72.43%)[0m
[32m2026-06-12 11:12:58.476[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.2417014037318541, 'feature_1': 4.449663145543827, 'feature_2': 5.54743960446007, 'feature_3': 0.984949056474711, 'feature_4': 2.98642742349445}[0m
[32m2026-06-12 11:12:58.477[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.2417014037318541, 'feature_1': 4.449663145543827, 'feature_2': 5.54743960446007, 'feature_3': 0.984949056474711, 'feature_4': 2.98642742349445}[0m
[32m2026-06-12 11:12:58.477[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.2417014037318541, 4.449663145543827, 5.54743960446007, 0.984949056474711, 2.98642742349445], Scaled: [-1.25236255 -0.16455884 0.21622494 -1.39005175 -0.68216402][0m
[32m2026-06-12 11:12:58.479[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99991507e-01 8.49319796e-06][0m
[32m2026-06-12 11:12:58.479[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.479[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.11 ms.[0m
[32m2026-06-12 11:12:58.479[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:58.479[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:58.519[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.114389039074302, 'feature_1': 0.10698043476040198, 'feature_2': 8.608052174769302, 'feature_3': 1.9320315404548816, 'feature_4': 6.170687224771126}[0m
[32m2026-06-12 11:12:58.519[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.114389039074302, 'feature_1': 0.10698043476040198, 'feature_2': 8.608052174769302, 'feature_3': 1.9320315404548816, 'feature_4': 6.170687224771126}[0m
[32m2026-06-12 11:12:58.520[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.114389039074302, 0.10698043476040198, 8.608052174769302, 1.9320315404548816, 6.170687224771126], Scaled: [ 0.39453975 -1.5979454 1.30567414 -1.05801411 0.42832585][0m
[32m2026-06-12 11:12:58.523[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.93361281 0.06638719][0m
[32m2026-06-12 11:12:58.524[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.524[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.14 ms.[0m
[32m2026-06-12 11:12:58.524[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 93.36%)[0m
[32m2026-06-12 11:12:58.524[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 93.36%)[0m
[32m2026-06-12 11:12:58.577[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.428456312174278, 'feature_1': 5.837950902954661, 'feature_2': 7.276048433331076, 'feature_3': 7.452887119229844, 'feature_4': 4.259268389119272}[0m
[32m2026-06-12 11:12:58.578[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.428456312174278, 'feature_1': 5.837950902954661, 'feature_2': 7.276048433331076, 'feature_3': 7.452887119229844, 'feature_4': 4.259268389119272}[0m
[32m2026-06-12 11:12:58.579[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.428456312174278, 5.837950902954661, 7.276048433331076, 7.452887119229844, 4.259268389119272], Scaled: [ 0.50069023 0.29367243 0.8315369 0.8775426 -0.23826902][0m
[32m2026-06-12 11:12:58.580[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [5.80112641e-04 9.99419887e-01][0m
[32m2026-06-12 11:12:58.580[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.580[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.12 ms.[0m
[32m2026-06-12 11:12:58.580[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:58.580[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:58.615[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.20166017371312, 'feature_1': 7.206897199886015, 'feature_2': 9.321024193052423, 'feature_3': 0.6005003955872834, 'feature_4': 2.0574753150963088}[0m
[32m2026-06-12 11:12:58.616[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.20166017371312, 'feature_1': 7.206897199886015, 'feature_2': 9.321024193052423, 'feature_3': 0.6005003955872834, 'feature_4': 2.0574753150963088}[0m
[32m2026-06-12 11:12:58.617[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.20166017371312, 7.206897199886015, 9.321024193052423, 0.6005003955872834, 2.0574753150963088], Scaled: [ 1.43799551 0.74551968 1.55946215 -1.5248356 -1.00613001][0m
[32m2026-06-12 11:12:58.618[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.0152646 0.9847354][0m
[32m2026-06-12 11:12:58.618[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.618[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.05 ms.[0m
[32m2026-06-12 11:12:58.618[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.47%)[0m
[32m2026-06-12 11:12:58.618[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.47%)[0m
[32m2026-06-12 11:12:58.671[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.769759476552297, 'feature_1': 7.799266896631312, 'feature_2': 4.9782703434518805, 'feature_3': 1.3929573232443382, 'feature_4': 8.706827977214257}[0m
[32m2026-06-12 11:12:58.671[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.769759476552297, 'feature_1': 7.799266896631312, 'feature_2': 4.9782703434518805, 'feature_3': 1.3929573232443382, 'feature_4': 8.706827977214257}[0m
[32m2026-06-12 11:12:58.672[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.769759476552297, 7.799266896631312, 4.9782703434518805, 1.3929573232443382, 8.706827977214257], Scaled: [-0.73589966 0.94104278 0.01362466 -1.24700814 1.31278841][0m
[32m2026-06-12 11:12:58.675[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.34795514 0.65204486][0m
[32m2026-06-12 11:12:58.675[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.675[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.46 ms.[0m
[32m2026-06-12 11:12:58.675[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 65.20%)[0m
[32m2026-06-12 11:12:58.676[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 65.20%)[0m
[32m2026-06-12 11:12:58.707[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.438459640937428, 'feature_1': 4.213076968484161, 'feature_2': 8.890146878290704, 'feature_3': 4.004864553091164, 'feature_4': 1.7881388080768623}[0m
[32m2026-06-12 11:12:58.708[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.438459640937428, 'feature_1': 4.213076968484161, 'feature_2': 8.890146878290704, 'feature_3': 4.004864553091164, 'feature_4': 1.7881388080768623}[0m
[32m2026-06-12 11:12:58.708[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.438459640937428, 4.213076968484161, 8.890146878290704, 4.004864553091164, 1.7881388080768623], Scaled: [ 1.51803051 -0.24264869 1.40608797 -0.3312996 -1.10005936][0m
[32m2026-06-12 11:12:58.712[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01747644 0.98252356][0m
[32m2026-06-12 11:12:58.712[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.712[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.28 ms.[0m
[32m2026-06-12 11:12:58.712[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.25%)[0m
[32m2026-06-12 11:12:58.712[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.25%)[0m
[32m2026-06-12 11:12:58.778[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.7813850529034756, 'feature_1': 8.272783678970795, 'feature_2': 9.270602034243563, 'feature_3': 1.39667973911634, 'feature_4': 5.049241406533136}[0m
[32m2026-06-12 11:12:58.779[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.7813850529034756, 'feature_1': 8.272783678970795, 'feature_2': 9.270602034243563, 'feature_3': 1.39667973911634, 'feature_4': 5.049241406533136}[0m
[32m2026-06-12 11:12:58.780[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.7813850529034756, 8.272783678970795, 9.270602034243563, 1.39667973911634, 5.049241406533136], Scaled: [-0.39398394 1.09733616 1.54151399 -1.2457031 0.03722892][0m
[32m2026-06-12 11:12:58.785[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03232287 0.96767713][0m
[32m2026-06-12 11:12:58.785[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.785[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.24 ms.[0m
[32m2026-06-12 11:12:58.785[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.77%)[0m
[32m2026-06-12 11:12:58.785[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.77%)[0m
[32m2026-06-12 11:12:58.855[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.017902466396888, 'feature_1': 9.294085985852437, 'feature_2': 7.668373222316324, 'feature_3': 8.99927670590787, 'feature_4': 2.6895281858139386}[0m
[32m2026-06-12 11:12:58.856[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.017902466396888, 'feature_1': 9.294085985852437, 'feature_2': 7.668373222316324, 'feature_3': 8.99927670590787, 'feature_4': 2.6895281858139386}[0m
[32m2026-06-12 11:12:58.857[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.017902466396888, 9.294085985852437, 7.668373222316324, 8.99927670590787, 2.6895281858139386], Scaled: [ 0.02394217 1.43443678 0.971188 1.41969131 -0.78570569][0m
[32m2026-06-12 11:12:58.860[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.77734006e-05 9.99972227e-01][0m
[32m2026-06-12 11:12:58.860[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.860[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.41 ms.[0m
[32m2026-06-12 11:12:58.860[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:58.860[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:58.913[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.1227284345733217, 'feature_1': 5.058494966505198, 'feature_2': 3.619905023574035, 'feature_3': 2.5529103311446355, 'feature_4': 3.3813443074481366}[0m
[32m2026-06-12 11:12:58.913[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.1227284345733217, 'feature_1': 5.058494966505198, 'feature_2': 3.619905023574035, 'feature_3': 2.5529103311446355, 'feature_4': 3.3813443074481366}[0m
[32m2026-06-12 11:12:58.914[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.1227284345733217, 5.058494966505198, 3.619905023574035, 2.5529103311446355, 3.3813443074481366], Scaled: [-0.61660094 0.0363979 -0.4698962 -0.84034022 -0.54443932][0m
[32m2026-06-12 11:12:58.915[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99838056e-01 1.61944371e-04][0m
[32m2026-06-12 11:12:58.916[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:58.916[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.16 ms.[0m
[32m2026-06-12 11:12:58.916[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:58.916[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:12:58.975[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.161238926612246, 'feature_1': 2.6494997610098414, 'feature_2': 6.99760562272499, 'feature_3': 3.026854611849854, 'feature_4': 7.3724659702276085}[0m
[32m2026-06-12 11:12:58.976[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.161238926612246, 'feature_1': 2.6494997610098414, 'feature_2': 6.99760562272499, 'feature_3': 3.026854611849854, 'feature_4': 7.3724659702276085}[0m
[32m2026-06-12 11:12:58.976[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.161238926612246, 2.6494997610098414, 6.99760562272499, 3.026854611849854, 7.3724659702276085], Scaled: [ 0.41037438 -0.75873764 0.73242298 -0.6741801 0.84743835][0m
[32m2026-06-12 11:12:58.980[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.22411507 0.77588493][0m
[32m2026-06-12 11:12:58.980[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:58.980[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.30 ms.[0m
[32m2026-06-12 11:12:58.980[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 77.59%)[0m
[32m2026-06-12 11:12:58.980[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 77.59%)[0m
[32m2026-06-12 11:12:59.031[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.0415645159326345, 'feature_1': 7.640822193776548, 'feature_2': 4.727741165198199, 'feature_3': 1.681584585185354, 'feature_4': 2.7000306143773187}[0m
[32m2026-06-12 11:12:59.031[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.0415645159326345, 'feature_1': 7.640822193776548, 'feature_2': 4.727741165198199, 'feature_3': 1.681584585185354, 'feature_4': 2.7000306143773187}[0m
[32m2026-06-12 11:12:59.032[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.0415645159326345, 7.640822193776548, 4.727741165198199, 1.681584585185354, 2.7000306143773187], Scaled: [-0.98201967 0.88874503 -0.07555318 -1.14581831 -0.78204304][0m
[32m2026-06-12 11:12:59.035[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99354851e-01 6.45149292e-04][0m
[32m2026-06-12 11:12:59.035[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.035[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.32 ms.[0m
[32m2026-06-12 11:12:59.035[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:59.035[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:12:59.114[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.453974895288322, 'feature_1': 9.105532399634614, 'feature_2': 1.3171184133507918, 'feature_3': 7.020608768215203, 'feature_4': 5.4388051037469385}[0m
[32m2026-06-12 11:12:59.115[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.453974895288322, 'feature_1': 9.105532399634614, 'feature_2': 1.3171184133507918, 'feature_3': 7.020608768215203, 'feature_4': 5.4388051037469385}[0m
[32m2026-06-12 11:12:59.116[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.453974895288322, 9.105532399634614, 1.3171184133507918, 7.020608768215203, 5.4388051037469385], Scaled: [ 0.50931517 1.37220101 -1.28959126 0.72599013 0.17308672][0m
[32m2026-06-12 11:12:59.125[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.0063754 0.9936246][0m
[32m2026-06-12 11:12:59.125[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.125[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.72 ms.[0m
[32m2026-06-12 11:12:59.125[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.36%)[0m
[32m2026-06-12 11:12:59.125[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.36%)[0m
[32m2026-06-12 11:12:59.178[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.372876295902316, 'feature_1': 2.255763777172514, 'feature_2': 1.0197937292549242, 'feature_3': 0.5474954408184218, 'feature_4': 3.6350968861186472}[0m
[32m2026-06-12 11:12:59.179[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.372876295902316, 'feature_1': 2.255763777172514, 'feature_2': 1.0197937292549242, 'feature_3': 0.5474954408184218, 'feature_4': 3.6350968861186472}[0m
[32m2026-06-12 11:12:59.179[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.372876295902316, 2.255763777172514, 1.0197937292549242, 0.5474954408184218, 3.6350968861186472], Scaled: [ 1.1578778 -0.88869783 -1.39542633 -1.54341861 -0.45594477][0m
[32m2026-06-12 11:12:59.182[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99986156e-01 1.38440964e-05][0m
[32m2026-06-12 11:12:59.183[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.183[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.21 ms.[0m
[32m2026-06-12 11:12:59.183[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:59.183[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:59.223[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.9269771973327225, 'feature_1': 4.617590957387426, 'feature_2': 4.9951129755119075, 'feature_3': 6.706760677105513, 'feature_4': 0.9289309601193185}[0m
[32m2026-06-12 11:12:59.224[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.9269771973327225, 'feature_1': 4.617590957387426, 'feature_2': 4.9951129755119075, 'feature_3': 6.706760677105513, 'feature_4': 0.9289309601193185}[0m
[32m2026-06-12 11:12:59.224[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.9269771973327225, 4.617590957387426, 4.9951129755119075, 6.706760677105513, 0.9289309601193185], Scaled: [-0.34477577 -0.10913101 0.01961992 0.61595813 -1.3997025 ][0m
[32m2026-06-12 11:12:59.228[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98924542 0.01075458][0m
[32m2026-06-12 11:12:59.228[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.228[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.31 ms.[0m
[32m2026-06-12 11:12:59.228[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.92%)[0m
[32m2026-06-12 11:12:59.228[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.92%)[0m
[32m2026-06-12 11:12:59.283[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.3723855541496066, 'feature_1': 5.3969816041216205, 'feature_2': 0.6175161139493113, 'feature_3': 9.417720662401445, 'feature_4': 8.262946323424629}[0m
[32m2026-06-12 11:12:59.283[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.3723855541496066, 'feature_1': 5.3969816041216205, 'feature_2': 0.6175161139493113, 'feature_3': 9.417720662401445, 'feature_4': 8.262946323424629}[0m
[32m2026-06-12 11:12:59.284[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.3723855541496066, 5.3969816041216205, 0.6175161139493113, 9.417720662401445, 8.262946323424629], Scaled: [-1.20819308 0.14812197 -1.53862022 1.56639357 1.15798758][0m
[32m2026-06-12 11:12:59.294[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.55034379 0.44965621][0m
[32m2026-06-12 11:12:59.294[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.294[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.15 ms.[0m
[32m2026-06-12 11:12:59.295[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 55.03%)[0m
[32m2026-06-12 11:12:59.295[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 55.03%)[0m
[32m2026-06-12 11:12:59.339[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.74277115826705, 'feature_1': 8.515540686822705, 'feature_2': 6.327438458157852, 'feature_3': 2.1795634707094425, 'feature_4': 0.962381605206043}[0m
[32m2026-06-12 11:12:59.342[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.74277115826705, 'feature_1': 8.515540686822705, 'feature_2': 6.327438458157852, 'feature_3': 2.1795634707094425, 'feature_4': 0.962381605206043}[0m
[32m2026-06-12 11:12:59.343[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.74277115826705, 8.515540686822705, 6.327438458157852, 2.1795634707094425, 0.962381605206043], Scaled: [ 0.60692438 1.17746282 0.49387169 -0.97123189 -1.38803681][0m
[32m2026-06-12 11:12:59.349[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.54584486 0.45415514][0m
[32m2026-06-12 11:12:59.349[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.349[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.28 ms.[0m
[32m2026-06-12 11:12:59.349[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 54.58%)[0m
[32m2026-06-12 11:12:59.349[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 54.58%)[0m
[32m2026-06-12 11:12:59.384[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.669083435963206, 'feature_1': 9.61524048114372, 'feature_2': 0.32379409679023863, 'feature_3': 6.267250273956815, 'feature_4': 7.843465648758774}[0m
[32m2026-06-12 11:12:59.384[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.669083435963206, 'feature_1': 9.61524048114372, 'feature_2': 0.32379409679023863, 'feature_3': 6.267250273956815, 'feature_4': 7.843465648758774}[0m
[32m2026-06-12 11:12:59.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.669083435963206, 9.61524048114372, 0.32379409679023863, 6.267250273956815, 7.843465648758774], Scaled: [ 1.59597823 1.54044004 -1.64317289 0.46187018 1.01169642][0m
[32m2026-06-12 11:12:59.387[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.89733362e-05 9.99961027e-01][0m
[32m2026-06-12 11:12:59.387[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.387[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.25 ms.[0m
[32m2026-06-12 11:12:59.387[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:59.387[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:12:59.430[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.710753394606143, 'feature_1': 5.488997414887597, 'feature_2': 2.1133833896811005, 'feature_3': 8.81347764688436, 'feature_4': 7.240023654525624}[0m
[32m2026-06-12 11:12:59.430[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.710753394606143, 'feature_1': 5.488997414887597, 'feature_2': 2.1133833896811005, 'feature_3': 8.81347764688436, 'feature_4': 7.240023654525624}[0m
[32m2026-06-12 11:12:59.431[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.710753394606143, 5.488997414887597, 2.1133833896811005, 8.81347764688436, 7.240023654525624], Scaled: [ 0.59610281 0.17849357 -1.00615446 1.35455202 0.80124996][0m
[32m2026-06-12 11:12:59.432[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00213344 0.99786656][0m
[32m2026-06-12 11:12:59.432[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.432[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.01 ms.[0m
[32m2026-06-12 11:12:59.435[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.79%)[0m
[32m2026-06-12 11:12:59.435[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.79%)[0m
[32m2026-06-12 11:12:59.480[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.761688569695584, 'feature_1': 6.537266791695618, 'feature_2': 7.274540227550203, 'feature_3': 0.46154798346483394, 'feature_4': 4.998980710606155}[0m
[32m2026-06-12 11:12:59.480[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.761688569695584, 'feature_1': 6.537266791695618, 'feature_2': 7.274540227550203, 'feature_3': 0.46154798346483394, 'feature_4': 4.998980710606155}[0m
[32m2026-06-12 11:12:59.481[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.761688569695584, 6.537266791695618, 7.274540227550203, 0.46154798346483394, 4.998980710606155], Scaled: [ 0.27533178 0.52449519 0.83100004 -1.57355093 0.01970083][0m
[32m2026-06-12 11:12:59.486[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.49329452 0.50670548][0m
[32m2026-06-12 11:12:59.486[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.486[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.41 ms.[0m
[32m2026-06-12 11:12:59.486[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 50.67%)[0m
[32m2026-06-12 11:12:59.486[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 50.67%)[0m
[32m2026-06-12 11:12:59.546[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.269288003378398, 'feature_1': 9.007456376308575, 'feature_2': 4.226622915918538, 'feature_3': 6.669193480457293, 'feature_4': 4.758183328287091}[0m
[32m2026-06-12 11:12:59.546[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.269288003378398, 'feature_1': 9.007456376308575, 'feature_2': 4.226622915918538, 'feature_3': 6.669193480457293, 'feature_4': 4.758183328287091}[0m
[32m2026-06-12 11:12:59.547[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.269288003378398, 9.007456376308575, 4.226622915918538, 6.669193480457293, 4.758183328287091], Scaled: [-0.22907936 1.33982912 -0.25393018 0.60278745 -0.06427569][0m
[32m2026-06-12 11:12:59.548[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00919888 0.99080112][0m
[32m2026-06-12 11:12:59.548[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.551[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.29 ms.[0m
[32m2026-06-12 11:12:59.552[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.08%)[0m
[32m2026-06-12 11:12:59.552[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.08%)[0m
[32m2026-06-12 11:12:59.603[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.754134788456389, 'feature_1': 6.666428597213532, 'feature_2': 5.809102096174704, 'feature_3': 2.8008300018287393, 'feature_4': 3.2467470629517647}[0m
[32m2026-06-12 11:12:59.603[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.754134788456389, 'feature_1': 6.666428597213532, 'feature_2': 5.809102096174704, 'feature_3': 2.8008300018287393, 'feature_4': 3.2467470629517647}[0m
[32m2026-06-12 11:12:59.604[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.754134788456389, 6.666428597213532, 5.809102096174704, 2.8008300018287393, 3.2467470629517647], Scaled: [-0.40319416 0.56712755 0.30936577 -0.75342207 -0.59137924][0m
[32m2026-06-12 11:12:59.607[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.96147343 0.03852657][0m
[32m2026-06-12 11:12:59.607[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.607[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.15 ms.[0m
[32m2026-06-12 11:12:59.608[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 96.15%)[0m
[32m2026-06-12 11:12:59.608[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 96.15%)[0m
[32m2026-06-12 11:12:59.662[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.5263729423847519, 'feature_1': 2.0190426066955345, 'feature_2': 3.8825610670102826, 'feature_3': 9.941410980157134, 'feature_4': 6.3402055797129115}[0m
[32m2026-06-12 11:12:59.663[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.5263729423847519, 'feature_1': 2.0190426066955345, 'feature_2': 3.8825610670102826, 'feature_3': 9.941410980157134, 'feature_4': 6.3402055797129115}[0m
[32m2026-06-12 11:12:59.663[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.5263729423847519, 2.0190426066955345, 3.8825610670102826, 9.941410980157134, 6.3402055797129115], Scaled: [-1.49413387 -0.96683224 -0.37640171 1.74999415 0.48744427][0m
[32m2026-06-12 11:12:59.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.94972527 0.05027473][0m
[32m2026-06-12 11:12:59.669[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.43 ms.[0m
[32m2026-06-12 11:12:59.669[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 94.97%)[0m
[32m2026-06-12 11:12:59.669[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 94.97%)[0m
[32m2026-06-12 11:12:59.732[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.9377065548933365, 'feature_1': 9.4782591342145, 'feature_2': 7.708658803601578, 'feature_3': 5.8450605287587845, 'feature_4': 2.610299173641386}[0m
[32m2026-06-12 11:12:59.733[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.9377065548933365, 'feature_1': 9.4782591342145, 'feature_2': 7.708658803601578, 'feature_3': 5.8450605287587845, 'feature_4': 2.610299173641386}[0m
[32m2026-06-12 11:12:59.733[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.9377065548933365, 9.4782591342145, 7.708658803601578, 5.8450605287587845, 2.610299173641386], Scaled: [-0.34114939 1.49522669 0.98552797 0.31385469 -0.81333629][0m
[32m2026-06-12 11:12:59.735[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00357401 0.99642599][0m
[32m2026-06-12 11:12:59.735[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.736[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.04 ms.[0m
[32m2026-06-12 11:12:59.736[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.64%)[0m
[32m2026-06-12 11:12:59.736[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.64%)[0m
[32m2026-06-12 11:12:59.785[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.84667059699926, 'feature_1': 1.9753043424764671, 'feature_2': 4.7452155424228994, 'feature_3': 1.437309823424675, 'feature_4': 6.684460627521905}[0m
[32m2026-06-12 11:12:59.787[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.84667059699926, 'feature_1': 1.9753043424764671, 'feature_2': 4.7452155424228994, 'feature_3': 1.437309823424675, 'feature_4': 6.684460627521905}[0m
[32m2026-06-12 11:12:59.788[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.84667059699926, 1.9753043424764671, 4.7452155424228994, 1.437309823424675, 6.684460627521905], Scaled: [ 1.65600028 -0.9812689 -0.06933304 -1.23145859 0.60750097][0m
[32m2026-06-12 11:12:59.789[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.65738815 0.34261185][0m
[32m2026-06-12 11:12:59.795[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.795[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.69 ms.[0m
[32m2026-06-12 11:12:59.795[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 65.74%)[0m
[32m2026-06-12 11:12:59.795[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 65.74%)[0m
[32m2026-06-12 11:12:59.841[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.9073364794122405, 'feature_1': 4.688233689581064, 'feature_2': 7.423497655754897, 'feature_3': 2.253142211176844, 'feature_4': 8.613813056431175}[0m
[32m2026-06-12 11:12:59.841[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.9073364794122405, 'feature_1': 4.688233689581064, 'feature_2': 7.423497655754897, 'feature_3': 2.253142211176844, 'feature_4': 8.613813056431175}[0m
[32m2026-06-12 11:12:59.842[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.9073364794122405, 4.688233689581064, 7.423497655754897, 2.253142211176844, 8.613813056431175], Scaled: [ 0.66254523 -0.08581401 0.88402261 -0.94543592 1.28035006][0m
[32m2026-06-12 11:12:59.843[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00354194 0.99645806][0m
[32m2026-06-12 11:12:59.851[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.852[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.11 ms.[0m
[32m2026-06-12 11:12:59.852[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.65%)[0m
[32m2026-06-12 11:12:59.852[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.65%)[0m
[32m2026-06-12 11:12:59.883[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.652491150925651, 'feature_1': 3.7028198134143766, 'feature_2': 6.505785280381677, 'feature_3': 6.720139940371147, 'feature_4': 5.649259711309989}[0m
[32m2026-06-12 11:12:59.884[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.652491150925651, 'feature_1': 3.7028198134143766, 'feature_2': 6.505785280381677, 'feature_3': 6.720139940371147, 'feature_4': 5.649259711309989}[0m
[32m2026-06-12 11:12:59.884[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.652491150925651, 3.7028198134143766, 6.505785280381677, 6.720139940371147, 5.649259711309989], Scaled: [-0.43754833 -0.41106895 0.55735565 0.62064877 0.2464814 ][0m
[32m2026-06-12 11:12:59.888[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.20358577 0.79641423][0m
[32m2026-06-12 11:12:59.889[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:12:59.889[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.25 ms.[0m
[32m2026-06-12 11:12:59.889[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 79.64%)[0m
[32m2026-06-12 11:12:59.889[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 79.64%)[0m
[32m2026-06-12 11:12:59.961[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.5704463661332557, 'feature_1': 4.790564245215942, 'feature_2': 3.9173190481273212, 'feature_3': 1.9630636660727685, 'feature_4': 8.970485087521698}[0m
[32m2026-06-12 11:12:59.961[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.5704463661332557, 'feature_1': 4.790564245215942, 'feature_2': 3.9173190481273212, 'feature_3': 1.9630636660727685, 'feature_4': 8.970485087521698}[0m
[32m2026-06-12 11:12:59.962[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.5704463661332557, 4.790564245215942, 3.9173190481273212, 1.9630636660727685, 8.970485087521698], Scaled: [-1.14125122 -0.05203783 -0.36402933 -1.04713456 1.40473711][0m
[32m2026-06-12 11:12:59.963[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99150632 0.00849368][0m
[32m2026-06-12 11:12:59.963[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:12:59.964[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.79 ms.[0m
[32m2026-06-12 11:12:59.964[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.15%)[0m
[32m2026-06-12 11:12:59.964[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.15%)[0m
[32m2026-06-12 11:13:00.012[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.045326855686705, 'feature_1': 6.439988450841535, 'feature_2': 2.7938008481603327, 'feature_3': 9.957232925448643, 'feature_4': 9.595438101842689}[0m
[32m2026-06-12 11:13:00.012[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.045326855686705, 'feature_1': 6.439988450841535, 'feature_2': 2.7938008481603327, 'feature_3': 9.957232925448643, 'feature_4': 9.595438101842689}[0m
[32m2026-06-12 11:13:00.013[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.045326855686705, 6.439988450841535, 2.7938008481603327, 9.957232925448643, 9.595438101842689], Scaled: [ 1.04717054 0.49238659 -0.7639545 1.75554117 1.6226854 ][0m
[32m2026-06-12 11:13:00.014[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.00850957e-06 9.99998991e-01][0m
[32m2026-06-12 11:13:00.014[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.022[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 9.00 ms.[0m
[32m2026-06-12 11:13:00.022[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.022[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.074[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.273432225727801, 'feature_1': 4.170862269568827, 'feature_2': 6.095542469363757, 'feature_3': 0.47551545079623003, 'feature_4': 1.179970947066653}[0m
[32m2026-06-12 11:13:00.074[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.273432225727801, 'feature_1': 4.170862269568827, 'feature_2': 6.095542469363757, 'feature_3': 0.47551545079623003, 'feature_4': 1.179970947066653}[0m
[32m2026-06-12 11:13:00.075[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.273432225727801, 4.170862269568827, 6.095542469363757, 0.47551545079623003, 1.179970947066653], Scaled: [ 0.44829419 -0.25658247 0.41132648 -1.56865407 -1.31215394][0m
[32m2026-06-12 11:13:00.080[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99693386e-01 3.06613859e-04][0m
[32m2026-06-12 11:13:00.081[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.081[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.18 ms.[0m
[32m2026-06-12 11:13:00.081[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:13:00.081[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:13:00.138[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.7469684998919923, 'feature_1': 8.215876769993374, 'feature_2': 9.470431462394712, 'feature_3': 5.515114751907928, 'feature_4': 9.213051162606744}[0m
[32m2026-06-12 11:13:00.138[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.7469684998919923, 'feature_1': 8.215876769993374, 'feature_2': 9.470431462394712, 'feature_3': 5.515114751907928, 'feature_4': 9.213051162606744}[0m
[32m2026-06-12 11:13:00.139[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.7469684998919923, 8.215876769993374, 9.470431462394712, 5.515114751907928, 9.213051162606744], Scaled: [-1.41957556 1.07855294 1.61264485 0.198179 1.48933045][0m
[32m2026-06-12 11:13:00.146[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.02741100e-05 9.99939726e-01][0m
[32m2026-06-12 11:13:00.147[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.147[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 7.22 ms.[0m
[32m2026-06-12 11:13:00.147[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:00.147[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:00.205[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.18903958023707923, 'feature_1': 0.25255636170997575, 'feature_2': 7.759789184867351, 'feature_3': 8.30274446006851, 'feature_4': 9.361708633502932}[0m
[32m2026-06-12 11:13:00.205[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.18903958023707923, 'feature_1': 0.25255636170997575, 'feature_2': 7.759789184867351, 'feature_3': 8.30274446006851, 'feature_4': 9.361708633502932}[0m
[32m2026-06-12 11:13:00.206[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.18903958023707923, 0.25255636170997575, 7.759789184867351, 8.30274446006851, 9.361708633502932], Scaled: [-1.60814797 -1.54989525 1.00372823 1.17549407 1.54117377][0m
[32m2026-06-12 11:13:00.212[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.31420791 0.68579209][0m
[32m2026-06-12 11:13:00.213[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.213[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 6.29 ms.[0m
[32m2026-06-12 11:13:00.213[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 68.58%)[0m
[32m2026-06-12 11:13:00.213[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 68.58%)[0m
[32m2026-06-12 11:13:00.240[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.261541667907826, 'feature_1': 7.443214575918037, 'feature_2': 1.788455635618974, 'feature_3': 5.854222911170436, 'feature_4': 4.109719861099911}[0m
[32m2026-06-12 11:13:00.241[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.261541667907826, 'feature_1': 7.443214575918037, 'feature_2': 1.788455635618974, 'feature_3': 5.854222911170436, 'feature_4': 4.109719861099911}[0m
[32m2026-06-12 11:13:00.241[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.261541667907826, 7.443214575918037, 1.788455635618974, 5.854222911170436, 4.109719861099911], Scaled: [ 0.78226178 0.82352081 -1.12181506 0.31706692 -0.2904231 ][0m
[32m2026-06-12 11:13:00.246[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.1644173 0.8355827][0m
[32m2026-06-12 11:13:00.246[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.246[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 5.01 ms.[0m
[32m2026-06-12 11:13:00.247[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 83.56%)[0m
[32m2026-06-12 11:13:00.247[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 83.56%)[0m
[32m2026-06-12 11:13:00.311[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.296505262792508, 'feature_1': 1.659366825748425, 'feature_2': 3.139573437745502, 'feature_3': 6.049131622572654, 'feature_4': 9.484096351000385}[0m
[32m2026-06-12 11:13:00.311[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.296505262792508, 'feature_1': 1.659366825748425, 'feature_2': 3.139573437745502, 'feature_3': 6.049131622572654, 'feature_4': 9.484096351000385}[0m
[32m2026-06-12 11:13:00.312[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.296505262792508, 1.659366825748425, 3.139573437745502, 6.049131622572654, 9.484096351000385], Scaled: [ 1.13206543 -1.0855502 -0.64087402 0.38539997 1.58385569][0m
[32m2026-06-12 11:13:00.315[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01950817 0.98049183][0m
[32m2026-06-12 11:13:00.315[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.315[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.55 ms.[0m
[32m2026-06-12 11:13:00.316[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.05%)[0m
[32m2026-06-12 11:13:00.316[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.05%)[0m
[32m2026-06-12 11:13:00.351[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.606857134490471, 'feature_1': 0.781470827820504, 'feature_2': 6.535041977681379, 'feature_3': 7.4512808016923735, 'feature_4': 6.253047689614938}[0m
[32m2026-06-12 11:13:00.352[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.606857134490471, 'feature_1': 0.781470827820504, 'feature_2': 6.535041977681379, 'feature_3': 7.4512808016923735, 'feature_4': 6.253047689614938}[0m
[32m2026-06-12 11:13:00.352[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.606857134490471, 0.781470827820504, 6.535041977681379, 7.4512808016923735, 6.253047689614938], Scaled: [-0.11498558 -1.37531678 0.5677698 0.87697944 0.45704852][0m
[32m2026-06-12 11:13:00.355[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.36659315 0.63340685][0m
[32m2026-06-12 11:13:00.356[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.356[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.10 ms.[0m
[32m2026-06-12 11:13:00.356[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 63.34%)[0m
[32m2026-06-12 11:13:00.356[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 63.34%)[0m
[32m2026-06-12 11:13:00.431[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.377072171672942, 'feature_1': 3.0056373887229473, 'feature_2': 1.7976248220606095, 'feature_3': 8.87316357192124, 'feature_4': 1.065877705041004}[0m
[32m2026-06-12 11:13:00.431[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.377072171672942, 'feature_1': 3.0056373887229473, 'feature_2': 1.7976248220606095, 'feature_3': 8.87316357192124, 'feature_4': 1.065877705041004}[0m
[32m2026-06-12 11:13:00.432[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.377072171672942, 3.0056373887229473, 1.7976248220606095, 8.87316357192124, 1.065877705041004], Scaled: [ 0.14533666 -0.64118752 -1.11855121 1.3754773 -1.35194322][0m
[32m2026-06-12 11:13:00.433[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99731618 0.00268382][0m
[32m2026-06-12 11:13:00.433[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.433[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.02 ms.[0m
[32m2026-06-12 11:13:00.433[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:13:00.433[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:13:00.467[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.0488220162730979, 'feature_1': 2.365158909690087, 'feature_2': 6.466961696766907, 'feature_3': 5.7574783298876255, 'feature_4': 3.035320766648093}[0m
[32m2026-06-12 11:13:00.470[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.0488220162730979, 'feature_1': 2.365158909690087, 'feature_2': 6.466961696766907, 'feature_3': 5.7574783298876255, 'feature_4': 3.035320766648093}[0m
[32m2026-06-12 11:13:00.472[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.0488220162730979, 2.365158909690087, 6.466961696766907, 5.7574783298876255, 3.035320766648093], Scaled: [-1.6555396 -0.85258985 0.54353609 0.28314924 -0.66511278][0m
[32m2026-06-12 11:13:00.476[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99842246e-01 1.57754259e-04][0m
[32m2026-06-12 11:13:00.476[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.476[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.36 ms.[0m
[32m2026-06-12 11:13:00.476[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:00.476[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:00.512[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.889583024210866, 'feature_1': 4.767836350027537, 'feature_2': 1.9287021571019392, 'feature_3': 6.400004891283163, 'feature_4': 0.5574857822676305}[0m
[32m2026-06-12 11:13:00.513[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.889583024210866, 'feature_1': 4.767836350027537, 'feature_2': 1.9287021571019392, 'feature_3': 6.400004891283163, 'feature_4': 0.5574857822676305}[0m
[32m2026-06-12 11:13:00.513[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.889583024210866, 4.767836350027537, 1.9287021571019392, 6.400004891283163, 0.5574857822676305], Scaled: [-1.37137379 -0.05953961 -1.0718932 0.50841262 -1.52924159][0m
[32m2026-06-12 11:13:00.517[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99996150e-01 3.85041888e-06][0m
[32m2026-06-12 11:13:00.517[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.517[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.22 ms.[0m
[32m2026-06-12 11:13:00.517[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.517[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.543[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.3021020251191817, 'feature_1': 5.079316287813999, 'feature_2': 6.828194079613254, 'feature_3': 1.7042063167605814, 'feature_4': 2.7419184989933933}[0m
[32m2026-06-12 11:13:00.543[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.3021020251191817, 'feature_1': 5.079316287813999, 'feature_2': 6.828194079613254, 'feature_3': 1.7042063167605814, 'feature_4': 2.7419184989933933}[0m
[32m2026-06-12 11:13:00.544[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.3021020251191817, 5.079316287813999, 6.828194079613254, 1.7042063167605814, 2.7419184989933933], Scaled: [-1.23194796 0.04327038 0.6721196 -1.13788736 -0.76743491][0m
[32m2026-06-12 11:13:00.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99834008e-01 1.65992236e-04][0m
[32m2026-06-12 11:13:00.545[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.98 ms.[0m
[32m2026-06-12 11:13:00.545[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:00.545[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:00.585[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.437388889480928, 'feature_1': 3.5448173554676665, 'feature_2': 8.034579318724855, 'feature_3': 9.80568807196452, 'feature_4': 9.989714419328706}[0m
[32m2026-06-12 11:13:00.586[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.437388889480928, 'feature_1': 3.5448173554676665, 'feature_2': 8.034579318724855, 'feature_3': 9.80568807196452, 'feature_4': 9.989714419328706}[0m
[32m2026-06-12 11:13:00.586[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.437388889480928, 3.5448173554676665, 8.034579318724855, 9.80568807196452, 9.989714419328706], Scaled: [ 0.84169575 -0.46322072 1.10154195 1.70241106 1.7601867 ][0m
[32m2026-06-12 11:13:00.590[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [8.98809597e-08 9.99999910e-01][0m
[32m2026-06-12 11:13:00.590[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.590[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.19 ms.[0m
[32m2026-06-12 11:13:00.590[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.590[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.647[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.8593373504734476, 'feature_1': 4.302285846669239, 'feature_2': 2.3903911407900447, 'feature_3': 5.5288704828252735, 'feature_4': 5.310474722841077}[0m
[32m2026-06-12 11:13:00.648[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.8593373504734476, 'feature_1': 4.302285846669239, 'feature_2': 2.3903911407900447, 'feature_3': 5.5288704828252735, 'feature_4': 5.310474722841077}[0m
[32m2026-06-12 11:13:00.649[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.8593373504734476, 4.302285846669239, 2.3903911407900447, 5.5288704828252735, 5.310474722841077], Scaled: [-0.36763712 -0.21320357 -0.90755137 0.20300162 0.12833234][0m
[32m2026-06-12 11:13:00.653[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98889074 0.01110926][0m
[32m2026-06-12 11:13:00.653[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.653[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 4.31 ms.[0m
[32m2026-06-12 11:13:00.653[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.89%)[0m
[32m2026-06-12 11:13:00.653[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.89%)[0m
[32m2026-06-12 11:13:00.686[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.5153765175118872, 'feature_1': 6.259342290968318, 'feature_2': 9.557276948689212, 'feature_3': 1.3327107586245612, 'feature_4': 4.68736774947181}[0m
[32m2026-06-12 11:13:00.689[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.5153765175118872, 'feature_1': 6.259342290968318, 'feature_2': 9.557276948689212, 'feature_3': 1.3327107586245612, 'feature_4': 4.68736774947181}[0m
[32m2026-06-12 11:13:00.693[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.5153765175118872, 6.259342290968318, 9.557276948689212, 1.3327107586245612, 4.68736774947181], Scaled: [-1.15986408 0.43276083 1.64355818 -1.26812998 -0.08897216][0m
[32m2026-06-12 11:13:00.694[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.86764107 0.13235893][0m
[32m2026-06-12 11:13:00.694[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.694[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.26 ms.[0m
[32m2026-06-12 11:13:00.694[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 86.76%)[0m
[32m2026-06-12 11:13:00.696[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 86.76%)[0m
[32m2026-06-12 11:13:00.765[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.213853099847627, 'feature_1': 3.278458805048934, 'feature_2': 0.6703982759054483, 'feature_3': 2.4779423710092607, 'feature_4': 1.1953258034511938}[0m
[32m2026-06-12 11:13:00.766[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.213853099847627, 'feature_1': 3.278458805048934, 'feature_2': 0.6703982759054483, 'feature_3': 2.4779423710092607, 'feature_4': 1.1953258034511938}[0m
[32m2026-06-12 11:13:00.766[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.213853099847627, 3.278458805048934, 0.6703982759054483, 2.4779423710092607, 1.1953258034511938], Scaled: [ 1.10413012 -0.55113752 -1.5197964 -0.86662324 -1.30679904][0m
[32m2026-06-12 11:13:00.770[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99984582e-01 1.54179009e-05][0m
[32m2026-06-12 11:13:00.770[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.770[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.20 ms.[0m
[32m2026-06-12 11:13:00.770[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.770[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:00.834[0m | [1mINFO [0m | [36m__main__[0m:[36m<cell line: 0>[0m:[36m26[0m - [1mProcessed 300 data points.[0m
[32m2026-06-12 11:13:00.834[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.16012977321466781, 'feature_1': 5.5303788481751015, 'feature_2': 7.777902975299078, 'feature_3': 3.0064511886894807, 'feature_4': 9.468741691547827}[0m
[32m2026-06-12 11:13:00.834[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.16012977321466781, 'feature_1': 5.5303788481751015, 'feature_2': 7.777902975299078, 'feature_3': 3.0064511886894807, 'feature_4': 9.468741691547827}[0m
[32m2026-06-12 11:13:00.835[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.16012977321466781, 5.5303788481751015, 7.777902975299078, 3.0064511886894807, 9.468741691547827], Scaled: [-1.61791909 0.19215232 1.01017598 -0.68133334 1.57850085][0m
[32m2026-06-12 11:13:00.839[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.26986815 0.73013185][0m
[32m2026-06-12 11:13:00.839[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.839[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.20 ms.[0m
[32m2026-06-12 11:13:00.839[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 73.01%)[0m
[32m2026-06-12 11:13:00.839[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 73.01%)[0m
[32m2026-06-12 11:13:00.885[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.321236767096478, 'feature_1': 8.037919138015553, 'feature_2': 2.9579145743674062, 'feature_3': 0.9390971053426123, 'feature_4': 7.683273127684957}[0m
[32m2026-06-12 11:13:00.885[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.321236767096478, 'feature_1': 8.037919138015553, 'feature_2': 2.9579145743674062, 'feature_3': 0.9390971053426123, 'feature_4': 7.683273127684957}[0m
[32m2026-06-12 11:13:00.886[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.321236767096478, 8.037919138015553, 2.9579145743674062, 0.9390971053426123, 7.683273127684957], Scaled: [-0.54950782 1.01981457 -0.70553692 -1.40612699 0.95583032][0m
[32m2026-06-12 11:13:00.887[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.93193828 0.06806172][0m
[32m2026-06-12 11:13:00.887[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:00.888[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.08 ms.[0m
[32m2026-06-12 11:13:00.888[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 93.19%)[0m
[32m2026-06-12 11:13:00.888[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 93.19%)[0m
[32m2026-06-12 11:13:00.959[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.023114191622785, 'feature_1': 7.146353017743729, 'feature_2': 2.8061825067506527, 'feature_3': 0.8612852734808774, 'feature_4': 8.127706691140155}[0m
[32m2026-06-12 11:13:00.959[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.023114191622785, 'feature_1': 7.146353017743729, 'feature_2': 2.8061825067506527, 'feature_3': 0.8612852734808774, 'feature_4': 8.127706691140155}[0m
[32m2026-06-12 11:13:00.960[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.023114191622785, 7.146353017743729, 2.8061825067506527, 0.8612852734808774, 8.127706691140155], Scaled: [ 1.37764939 0.7255359 -0.75954715 -1.43340704 1.11082363][0m
[32m2026-06-12 11:13:00.961[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03601051 0.96398949][0m
[32m2026-06-12 11:13:00.961[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:00.961[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.01 ms.[0m
[32m2026-06-12 11:13:00.961[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.40%)[0m
[32m2026-06-12 11:13:00.961[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.40%)[0m
[32m2026-06-12 11:13:00.996[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.787194833623504, 'feature_1': 4.565136606036546, 'feature_2': 7.719709479174108, 'feature_3': 4.256395726671887, 'feature_4': 7.628015905709845}[0m
[32m2026-06-12 11:13:00.997[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.787194833623504, 'feature_1': 4.565136606036546, 'feature_2': 7.719709479174108, 'feature_3': 4.256395726671887, 'feature_4': 7.628015905709845}[0m
[32m2026-06-12 11:13:00.997[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.787194833623504, 4.565136606036546, 7.719709479174108, 4.256395726671887, 7.628015905709845], Scaled: [-0.05403388 -0.12644458 0.98946155 -0.24311529 0.93655973][0m
[32m2026-06-12 11:13:01.001[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01006811 0.98993189][0m
[32m2026-06-12 11:13:01.001[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:01.001[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 3.21 ms.[0m
[32m2026-06-12 11:13:01.001[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.99%)[0m
[32m2026-06-12 11:13:01.001[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.99%)[0m
[32m2026-06-12 11:13:01.054[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.70882327740713, 'feature_1': 0.18266140521305485, 'feature_2': 5.139058354308238, 'feature_3': 5.478393774046304, 'feature_4': 9.864582800292096}[0m
[32m2026-06-12 11:13:01.055[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.70882327740713, 'feature_1': 0.18266140521305485, 'feature_2': 5.139058354308238, 'feature_3': 5.478393774046304, 'feature_4': 9.864582800292096}[0m
[32m2026-06-12 11:13:01.056[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.70882327740713, 0.18266140521305485, 5.139058354308238, 5.478393774046304, 9.864582800292096], Scaled: [-0.75649527 -1.57296543 0.07085842 0.18530499 1.71654786][0m
[32m2026-06-12 11:13:01.057[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.90892567 0.09107433][0m
[32m2026-06-12 11:13:01.057[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.057[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.23 ms.[0m
[32m2026-06-12 11:13:01.057[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 90.89%)[0m
[32m2026-06-12 11:13:01.057[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 90.89%)[0m
[32m2026-06-12 11:13:01.097[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.8164480688101, 'feature_1': 5.364871724580659, 'feature_2': 4.1688150084152875, 'feature_3': 1.4649105405507834, 'feature_4': 4.605194776438907}[0m
[32m2026-06-12 11:13:01.097[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.8164480688101, 'feature_1': 5.364871724580659, 'feature_2': 4.1688150084152875, 'feature_3': 1.4649105405507834, 'feature_4': 4.605194776438907}[0m
[32m2026-06-12 11:13:01.098[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.8164480688101, 5.364871724580659, 4.1688150084152875, 1.4649105405507834, 4.605194776438907], Scaled: [-0.04414668 0.13752349 -0.27450736 -1.22178206 -0.11762945][0m
[32m2026-06-12 11:13:01.099[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99617176 0.00382824][0m
[32m2026-06-12 11:13:01.099[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.099[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.04 ms.[0m
[32m2026-06-12 11:13:01.099[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.62%)[0m
[32m2026-06-12 11:13:01.099[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.62%)[0m
[32m2026-06-12 11:13:01.129[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.4897228533992146, 'feature_1': 8.757529596319054, 'feature_2': 0.33951087730686447, 'feature_3': 6.687050555380284, 'feature_4': 9.81297690926288}[0m
[32m2026-06-12 11:13:01.130[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.4897228533992146, 'feature_1': 8.757529596319054, 'feature_2': 0.33951087730686447, 'feature_3': 6.687050555380284, 'feature_4': 9.81297690926288}[0m
[32m2026-06-12 11:13:01.131[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.4897228533992146, 8.757529596319054, 0.33951087730686447, 6.687050555380284, 9.81297690926288], Scaled: [-1.16853467 1.25733595 -1.63757838 0.60904796 1.69855064][0m
[32m2026-06-12 11:13:01.132[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.09755878 0.90244122][0m
[32m2026-06-12 11:13:01.132[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:01.132[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.04 ms.[0m
[32m2026-06-12 11:13:01.132[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 90.24%)[0m
[32m2026-06-12 11:13:01.132[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 90.24%)[0m
[32m2026-06-12 11:13:01.200[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.1847260056726565, 'feature_1': 4.036177511064608, 'feature_2': 3.6542555914681296, 'feature_3': 1.094959311410597, 'feature_4': 7.248253301987325}[0m
[32m2026-06-12 11:13:01.200[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.1847260056726565, 'feature_1': 4.036177511064608, 'feature_2': 3.6542555914681296, 'feature_3': 1.094959311410597, 'feature_4': 7.248253301987325}[0m
[32m2026-06-12 11:13:01.201[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.1847260056726565, 4.036177511064608, 3.6542555914681296, 1.094959311410597, 7.248253301987325], Scaled: [-0.5956466 -0.30103778 -0.45766884 -1.35148326 0.80411999][0m
[32m2026-06-12 11:13:01.203[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99189674e-01 8.10325806e-04][0m
[32m2026-06-12 11:13:01.203[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.203[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.64 ms.[0m
[32m2026-06-12 11:13:01.203[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:13:01.203[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:13:01.246[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.2390270847189, 'feature_1': 4.462931060306179, 'feature_2': 0.7892132181675515, 'feature_3': 8.292459019595597, 'feature_4': 1.3364817509162874}[0m
[32m2026-06-12 11:13:01.246[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.2390270847189, 'feature_1': 4.462931060306179, 'feature_2': 0.7892132181675515, 'feature_3': 8.292459019595597, 'feature_4': 1.3364817509162874}[0m
[32m2026-06-12 11:13:01.247[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.2390270847189, 4.462931060306179, 0.7892132181675515, 8.292459019595597, 1.3364817509162874], Scaled: [ 0.77465215 -0.16017951 -1.47750328 1.1718881 -1.25757182][0m
[32m2026-06-12 11:13:01.248[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97201483 0.02798517][0m
[32m2026-06-12 11:13:01.248[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.248[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.91 ms.[0m
[32m2026-06-12 11:13:01.248[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.20%)[0m
[32m2026-06-12 11:13:01.248[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.20%)[0m
[32m2026-06-12 11:13:01.302[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.205575028648504, 'feature_1': 9.41743016829544, 'feature_2': 0.9473989157565077, 'feature_3': 9.743866059529584, 'feature_4': 3.7823456915594953}[0m
[32m2026-06-12 11:13:01.302[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.205575028648504, 'feature_1': 9.41743016829544, 'feature_2': 0.9473989157565077, 'feature_3': 9.743866059529584, 'feature_4': 3.7823456915594953}[0m
[32m2026-06-12 11:13:01.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.205575028648504, 9.41743016829544, 0.9473989157565077, 9.743866059529584, 3.7823456915594953], Scaled: [ 1.43931868 1.47514891 -1.42119583 1.68073688 -0.4045927 ][0m
[32m2026-06-12 11:13:01.304[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [7.00155612e-05 9.99929984e-01][0m
[32m2026-06-12 11:13:01.304[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:01.304[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.13 ms.[0m
[32m2026-06-12 11:13:01.304[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:01.304[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:01.369[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.39226316943684, 'feature_1': 1.9836271772624214, 'feature_2': 5.315902563361297, 'feature_3': 7.747892394389496, 'feature_4': 0.6918447440082653}[0m
[32m2026-06-12 11:13:01.369[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.39226316943684, 'feature_1': 1.9836271772624214, 'feature_2': 5.315902563361297, 'feature_3': 7.747892394389496, 'feature_4': 0.6918447440082653}[0m
[32m2026-06-12 11:13:01.370[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.39226316943684, 1.9836271772624214, 5.315902563361297, 7.747892394389496, 0.6918447440082653], Scaled: [ 0.15047101 -0.97852179 0.13380751 0.98096849 -1.48238478][0m
[32m2026-06-12 11:13:01.371[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99036875 0.00963125][0m
[32m2026-06-12 11:13:01.371[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.371[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.12 ms.[0m
[32m2026-06-12 11:13:01.371[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.04%)[0m
[32m2026-06-12 11:13:01.371[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.04%)[0m
[32m2026-06-12 11:13:01.410[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.44415339160047, 'feature_1': 4.139658739451456, 'feature_2': 3.8890104985144847, 'feature_3': 4.4632670066297395, 'feature_4': 4.026001763072352}[0m
[32m2026-06-12 11:13:01.411[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.44415339160047, 'feature_1': 4.139658739451456, 'feature_2': 3.8890104985144847, 'feature_3': 4.4632670066297395, 'feature_4': 4.026001763072352}[0m
[32m2026-06-12 11:13:01.411[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.44415339160047, 4.139658739451456, 3.8890104985144847, 4.4632670066297395, 4.026001763072352], Scaled: [ 0.50599563 -0.2668818 -0.37410598 -0.17058829 -0.31961924][0m
[32m2026-06-12 11:13:01.425[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.92819803 0.07180197][0m
[32m2026-06-12 11:13:01.426[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.426[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 14.15 ms.[0m
[32m2026-06-12 11:13:01.426[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 92.82%)[0m
[32m2026-06-12 11:13:01.426[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 92.82%)[0m
[32m2026-06-12 11:13:01.454[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.374173354596441, 'feature_1': 1.8634332779579554, 'feature_2': 1.962931538094218, 'feature_3': 2.2303207212724185, 'feature_4': 4.753302722119479}[0m
[32m2026-06-12 11:13:01.454[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.374173354596441, 'feature_1': 1.8634332779579554, 'feature_2': 1.962931538094218, 'feature_3': 2.2303207212724185, 'feature_4': 4.753302722119479}[0m
[32m2026-06-12 11:13:01.455[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.374173354596441, 1.8634332779579554, 1.962931538094218, 2.2303207212724185, 4.753302722119479], Scaled: [ 0.48234333 -1.01819411 -1.05970898 -0.95343691 -0.06597777][0m
[32m2026-06-12 11:13:01.456[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99930900e-01 6.91002635e-05][0m
[32m2026-06-12 11:13:01.456[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.456[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.00 ms.[0m
[32m2026-06-12 11:13:01.456[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:01.456[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:01.511[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.786913687707049, 'feature_1': 0.1007543779530573, 'feature_2': 7.0613503350078455, 'feature_3': 4.570096823964843, 'feature_4': 0.6799773418421551}[0m
[32m2026-06-12 11:13:01.511[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.786913687707049, 'feature_1': 0.1007543779530573, 'feature_2': 7.0613503350078455, 'feature_3': 4.570096823964843, 'feature_4': 0.6799773418421551}[0m
[32m2026-06-12 11:13:01.512[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.786913687707049, 0.1007543779530573, 7.0613503350078455, 4.570096823964843, 0.6799773418421551], Scaled: [ 1.29781682 -1.60000043 0.75511341 -0.13313483 -1.48652345][0m
[32m2026-06-12 11:13:01.513[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9898797 0.0101203][0m
[32m2026-06-12 11:13:01.513[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.513[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.93 ms.[0m
[32m2026-06-12 11:13:01.513[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.99%)[0m
[32m2026-06-12 11:13:01.513[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.99%)[0m
[32m2026-06-12 11:13:01.556[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.835263210176933, 'feature_1': 3.859600848755269, 'feature_2': 0.19433412187930488, 'feature_3': 5.672509776845578, 'feature_4': 2.6243149738970306}[0m
[32m2026-06-12 11:13:01.556[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.835263210176933, 'feature_1': 3.859600848755269, 'feature_2': 0.19433412187930488, 'feature_3': 5.672509776845578, 'feature_4': 2.6243149738970306}[0m
[32m2026-06-12 11:13:01.557[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.835263210176933, 3.859600848755269, 0.19433412187930488, 5.672509776845578, 2.6243149738970306], Scaled: [ 0.63818544 -0.35932033 -1.68925519 0.25336012 -0.80844837][0m
[32m2026-06-12 11:13:01.557[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99190878e-01 8.09121899e-04][0m
[32m2026-06-12 11:13:01.558[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.558[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.94 ms.[0m
[32m2026-06-12 11:13:01.558[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:13:01.558[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.92%)[0m
[32m2026-06-12 11:13:01.609[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.37217338390376, 'feature_1': 6.488507864276052, 'feature_2': 8.874944229773563, 'feature_3': 8.771311158317443, 'feature_4': 7.027569045201217}[0m
[32m2026-06-12 11:13:01.609[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.37217338390376, 'feature_1': 6.488507864276052, 'feature_2': 8.874944229773563, 'feature_3': 8.771311158317443, 'feature_4': 7.027569045201217}[0m
[32m2026-06-12 11:13:01.610[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.37217338390376, 6.488507864276052, 8.874944229773563, 8.771311158317443, 7.027569045201217], Scaled: [-0.1943055 0.50840136 1.40067647 1.33976887 0.7271578 ][0m
[32m2026-06-12 11:13:01.611[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.59635757e-06 9.99996404e-01][0m
[32m2026-06-12 11:13:01.611[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:01.611[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.97 ms.[0m
[32m2026-06-12 11:13:01.611[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:01.611[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:01.657[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.665331126873894, 'feature_1': 5.564523897380388, 'feature_2': 5.700273140524773, 'feature_3': 0.5585439281089732, 'feature_4': 0.8777961201442697}[0m
[32m2026-06-12 11:13:01.657[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.665331126873894, 'feature_1': 5.564523897380388, 'feature_2': 5.700273140524773, 'feature_3': 0.5585439281089732, 'feature_4': 0.8777961201442697}[0m
[32m2026-06-12 11:13:01.658[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.665331126873894, 5.564523897380388, 5.700273140524773, 0.5585439281089732, 0.8777961201442697], Scaled: [ 0.24276427 0.20342255 0.27062725 -1.53954512 -1.41753544][0m
[32m2026-06-12 11:13:01.659[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99609001e-01 3.90998564e-04][0m
[32m2026-06-12 11:13:01.659[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.659[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.93 ms.[0m
[32m2026-06-12 11:13:01.659[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:01.659[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:01.709[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.636344302608797, 'feature_1': 6.055144007709467, 'feature_2': 9.595873554161042, 'feature_3': 0.6756267194282584, 'feature_4': 4.717451750169376}[0m
[32m2026-06-12 11:13:01.709[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.636344302608797, 'feature_1': 6.055144007709467, 'feature_2': 9.595873554161042, 'feature_3': 0.6756267194282584, 'feature_4': 4.717451750169376}[0m
[32m2026-06-12 11:13:01.710[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.636344302608797, 6.055144007709467, 9.595873554161042, 0.6756267194282584, 4.717451750169376], Scaled: [-0.44300574 0.36536123 1.65729695 -1.49849707 -0.07848056][0m
[32m2026-06-12 11:13:01.711[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.57914706 0.42085294][0m
[32m2026-06-12 11:13:01.711[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.711[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.92 ms.[0m
[32m2026-06-12 11:13:01.711[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 57.91%)[0m
[32m2026-06-12 11:13:01.711[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 57.91%)[0m
[32m2026-06-12 11:13:01.771[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.117353799406793, 'feature_1': 6.228468854555397, 'feature_2': 1.3926675755806173, 'feature_3': 0.9969573902527118, 'feature_4': 3.701925564972086}[0m
[32m2026-06-12 11:13:01.771[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.117353799406793, 'feature_1': 6.228468854555397, 'feature_2': 1.3926675755806173, 'feature_3': 0.9969573902527118, 'feature_4': 3.701925564972086}[0m
[32m2026-06-12 11:13:01.772[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.117353799406793, 6.228468854555397, 1.3926675755806173, 0.9969573902527118, 3.701925564972086], Scaled: [ 0.73352823 0.42257045 -1.26269894 -1.38584175 -0.4326387 ][0m
[32m2026-06-12 11:13:01.773[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99885664 0.00114336][0m
[32m2026-06-12 11:13:01.773[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.773[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.92 ms.[0m
[32m2026-06-12 11:13:01.773[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:13:01.773[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:13:01.842[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.67105156059014, 'feature_1': 1.7379193983907992, 'feature_2': 2.144698011238051, 'feature_3': 0.6032319267633446, 'feature_4': 2.848651319073703}[0m
[32m2026-06-12 11:13:01.842[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.67105156059014, 'feature_1': 1.7379193983907992, 'feature_2': 2.144698011238051, 'feature_3': 0.6032319267633446, 'feature_4': 2.848651319073703}[0m
[32m2026-06-12 11:13:01.843[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.67105156059014, 1.7379193983907992, 2.144698011238051, 0.6032319267633446, 2.848651319073703], Scaled: [ 0.2446977 -1.0596224 -0.99500777 -1.52387796 -0.73021253][0m
[32m2026-06-12 11:13:01.844[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999491e-01 5.08853020e-07][0m
[32m2026-06-12 11:13:01.844[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.844[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.94 ms.[0m
[32m2026-06-12 11:13:01.844[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:01.844[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:01.893[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.579873665437591, 'feature_1': 4.179340181175788, 'feature_2': 8.805869227176434, 'feature_3': 4.82410763557399, 'feature_4': 2.8301436136117863}[0m
[32m2026-06-12 11:13:01.893[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.579873665437591, 'feature_1': 4.179340181175788, 'feature_2': 8.805869227176434, 'feature_3': 4.82410763557399, 'feature_4': 2.8301436136117863}[0m
[32m2026-06-12 11:13:01.894[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.579873665437591, 4.179340181175788, 8.805869227176434, 4.82410763557399, 2.8301436136117863], Scaled: [ 0.21388081 -0.25378417 1.37608868 -0.04408118 -0.73666698][0m
[32m2026-06-12 11:13:01.895[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.18231083 0.81768917][0m
[32m2026-06-12 11:13:01.895[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:01.895[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.36 ms.[0m
[32m2026-06-12 11:13:01.895[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 81.77%)[0m
[32m2026-06-12 11:13:01.895[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 81.77%)[0m
[32m2026-06-12 11:13:01.965[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.9014193052066215, 'feature_1': 1.038444641082481, 'feature_2': 2.6200633987460797, 'feature_3': 5.209186379053671, 'feature_4': 9.573655696712763}[0m
[32m2026-06-12 11:13:01.966[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.9014193052066215, 'feature_1': 1.038444641082481, 'feature_2': 2.6200633987460797, 'feature_3': 5.209186379053671, 'feature_4': 9.573655696712763}[0m
[32m2026-06-12 11:13:01.966[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.9014193052066215, 1.038444641082481, 2.6200633987460797, 5.209186379053671, 9.573655696712763], Scaled: [-0.01542756 -1.29049759 -0.82579771 0.09092357 1.61508893][0m
[32m2026-06-12 11:13:01.967[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.91604848 0.08395152][0m
[32m2026-06-12 11:13:01.967[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.968[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.95 ms.[0m
[32m2026-06-12 11:13:01.968[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 91.60%)[0m
[32m2026-06-12 11:13:01.968[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 91.60%)[0m
[32m2026-06-12 11:13:01.997[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.503947558039017, 'feature_1': 4.460790197701893, 'feature_2': 5.465433412956423, 'feature_3': 3.3627246089748652, 'feature_4': 0.36759609954688743}[0m
[32m2026-06-12 11:13:01.997[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.503947558039017, 'feature_1': 4.460790197701893, 'feature_2': 5.465433412956423, 'feature_3': 3.3627246089748652, 'feature_4': 0.36759609954688743}[0m
[32m2026-06-12 11:13:01.998[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.503947558039017, 4.460790197701893, 5.465433412956423, 3.3627246089748652, 0.36759609954688743], Scaled: [-0.48775405 -0.16088614 0.18703419 -0.55642744 -1.59546438][0m
[32m2026-06-12 11:13:01.999[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99906759e-01 9.32412016e-05][0m
[32m2026-06-12 11:13:01.999[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:01.999[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.00 ms.[0m
[32m2026-06-12 11:13:02.000[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:02.000[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:02.035[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.80211192408225, 'feature_1': 6.203418623127791, 'feature_2': 6.248494183923991, 'feature_3': 4.497223383089549, 'feature_4': 1.9665351269327214}[0m
[32m2026-06-12 11:13:02.035[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.80211192408225, 'feature_1': 6.203418623127791, 'feature_2': 6.248494183923991, 'feature_3': 4.497223383089549, 'feature_4': 1.9665351269327214}[0m
[32m2026-06-12 11:13:02.036[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.80211192408225, 6.203418623127791, 6.248494183923991, 4.497223383089549, 1.9665351269327214], Scaled: [-0.72496497 0.41430214 0.46577085 -0.15868353 -1.03784481][0m
[32m2026-06-12 11:13:02.037[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.97878184 0.02121816][0m
[32m2026-06-12 11:13:02.037[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.038[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.08 ms.[0m
[32m2026-06-12 11:13:02.038[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.88%)[0m
[32m2026-06-12 11:13:02.038[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.88%)[0m
[32m2026-06-12 11:13:02.066[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.823201513817716, 'feature_1': 2.902019963248116, 'feature_2': 6.148501853079905, 'feature_3': 1.6947592962229885, 'feature_4': 1.491448182341859}[0m
[32m2026-06-12 11:13:02.066[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.823201513817716, 'feature_1': 2.902019963248116, 'feature_2': 6.148501853079905, 'feature_3': 1.6947592962229885, 'feature_4': 1.491448182341859}[0m
[32m2026-06-12 11:13:02.067[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.823201513817716, 2.902019963248116, 6.148501853079905, 1.6947592962229885, 1.491448182341859], Scaled: [ 0.97209518 -0.67538845 0.43017779 -1.14119939 -1.20352829][0m
[32m2026-06-12 11:13:02.068[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99731771 0.00268229][0m
[32m2026-06-12 11:13:02.068[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.069[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.17 ms.[0m
[32m2026-06-12 11:13:02.069[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:13:02.069[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.73%)[0m
[32m2026-06-12 11:13:02.095[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.896496174588968, 'feature_1': 7.2211221763851, 'feature_2': 9.534046786850265, 'feature_3': 4.917588496511074, 'feature_4': 1.638270195451107}[0m
[32m2026-06-12 11:13:02.095[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.896496174588968, 'feature_1': 7.2211221763851, 'feature_2': 9.534046786850265, 'feature_3': 4.917588496511074, 'feature_4': 1.638270195451107}[0m
[32m2026-06-12 11:13:02.096[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.896496174588968, 7.2211221763851, 9.534046786850265, 4.917588496511074, 1.638270195451107], Scaled: [ 1.67284065 0.75021491 1.63528923 -0.01130773 -1.15232507][0m
[32m2026-06-12 11:13:02.097[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.86167727e-05 9.99951383e-01][0m
[32m2026-06-12 11:13:02.097[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.097[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.99 ms.[0m
[32m2026-06-12 11:13:02.097[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.097[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.169[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.312263705745513, 'feature_1': 1.4974423302174666, 'feature_2': 3.5915523916334138, 'feature_3': 7.78387733435332, 'feature_4': 9.770401923785204}[0m
[32m2026-06-12 11:13:02.170[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.312263705745513, 'feature_1': 1.4974423302174666, 'feature_2': 3.5915523916334138, 'feature_3': 7.78387733435332, 'feature_4': 9.770401923785204}[0m
[32m2026-06-12 11:13:02.170[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.312263705745513, 1.4974423302174666, 3.5915523916334138, 7.78387733435332, 9.770401923785204], Scaled: [ 1.13739157 -1.13899651 -0.47998854 0.99358445 1.68370289][0m
[32m2026-06-12 11:13:02.171[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00124078 0.99875922][0m
[32m2026-06-12 11:13:02.171[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.172[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.95 ms.[0m
[32m2026-06-12 11:13:02.172[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.88%)[0m
[32m2026-06-12 11:13:02.172[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.88%)[0m
[32m2026-06-12 11:13:02.209[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.667991937125617, 'feature_1': 6.469179116099389, 'feature_2': 9.002081780759962, 'feature_3': 6.311621487916614, 'feature_4': 9.56046720179482}[0m
[32m2026-06-12 11:13:02.209[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.667991937125617, 'feature_1': 6.469179116099389, 'feature_2': 9.002081780759962, 'feature_3': 6.311621487916614, 'feature_4': 9.56046720179482}[0m
[32m2026-06-12 11:13:02.212[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.667991937125617, 6.469179116099389, 9.002081780759962, 6.311621487916614, 9.56046720179482], Scaled: [0.91963645 0.50202153 1.44593208 0.47742629 1.61048953][0m
[32m2026-06-12 11:13:02.213[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.37137080e-08 9.99999936e-01][0m
[32m2026-06-12 11:13:02.213[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.213[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.06 ms.[0m
[32m2026-06-12 11:13:02.214[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.214[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.271[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.7131278383691035, 'feature_1': 0.495468371264669, 'feature_2': 0.5888192564480788, 'feature_3': 9.254638953425085, 'feature_4': 7.328220326568731}[0m
[32m2026-06-12 11:13:02.271[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.7131278383691035, 'feature_1': 0.495468371264669, 'feature_2': 0.5888192564480788, 'feature_3': 9.254638953425085, 'feature_4': 7.328220326568731}[0m
[32m2026-06-12 11:13:02.272[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.7131278383691035, 0.495468371264669, 0.5888192564480788, 9.254638953425085, 7.328220326568731], Scaled: [-0.41705395 -1.46971743 -1.54883509 1.50921875 0.83200797][0m
[32m2026-06-12 11:13:02.273[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99104398 0.00895602][0m
[32m2026-06-12 11:13:02.273[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.273[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.91 ms.[0m
[32m2026-06-12 11:13:02.273[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.10%)[0m
[32m2026-06-12 11:13:02.273[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.10%)[0m
[32m2026-06-12 11:13:02.306[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.2554902823852288, 'feature_1': 2.928308673799868, 'feature_2': 9.108321348764223, 'feature_3': 7.654995667581436, 'feature_4': 6.280910294735335}[0m
[32m2026-06-12 11:13:02.307[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.2554902823852288, 'feature_1': 2.928308673799868, 'feature_2': 9.108321348764223, 'feature_3': 7.654995667581436, 'feature_4': 6.280910294735335}[0m
[32m2026-06-12 11:13:02.307[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.2554902823852288, 2.928308673799868, 9.108321348764223, 7.654995667581436, 6.280910294735335], Scaled: [-1.2477021 -0.66671136 1.4837489 0.94839983 0.46676542][0m
[32m2026-06-12 11:13:02.309[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.06909286 0.93090714][0m
[32m2026-06-12 11:13:02.309[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.309[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.09 ms.[0m
[32m2026-06-12 11:13:02.309[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 93.09%)[0m
[32m2026-06-12 11:13:02.309[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 93.09%)[0m
[32m2026-06-12 11:13:02.355[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.055409811136528, 'feature_1': 1.9353533142302493, 'feature_2': 2.1360101771097217, 'feature_3': 6.52453746607811, 'feature_4': 8.9318295356199}[0m
[32m2026-06-12 11:13:02.355[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.055409811136528, 'feature_1': 1.9353533142302493, 'feature_2': 2.1360101771097217, 'feature_3': 6.52453746607811, 'feature_4': 8.9318295356199}[0m
[32m2026-06-12 11:13:02.356[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.055409811136528, 1.9353533142302493, 2.1360101771097217, 6.52453746607811, 8.9318295356199], Scaled: [ 1.05057844 -0.99445551 -0.99810028 0.5520725 1.39125624][0m
[32m2026-06-12 11:13:02.357[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.06461657 0.93538343][0m
[32m2026-06-12 11:13:02.357[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.357[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.90 ms.[0m
[32m2026-06-12 11:13:02.357[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 93.54%)[0m
[32m2026-06-12 11:13:02.357[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 93.54%)[0m
[32m2026-06-12 11:13:02.423[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.284402512625462, 'feature_1': 2.748910464014127, 'feature_2': 7.970872633028888, 'feature_3': 4.804527269391464, 'feature_4': 5.646269698472663}[0m
[32m2026-06-12 11:13:02.424[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.284402512625462, 'feature_1': 2.748910464014127, 'feature_2': 7.970872633028888, 'feature_3': 4.804527269391464, 'feature_4': 5.646269698472663}[0m
[32m2026-06-12 11:13:02.425[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.284402512625462, 2.748910464014127, 7.970872633028888, 4.804527269391464, 5.646269698472663], Scaled: [ 1.4659613 -0.72592521 1.07886505 -0.05094586 0.24543865][0m
[32m2026-06-12 11:13:02.425[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00171224 0.99828776][0m
[32m2026-06-12 11:13:02.426[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.426[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.03 ms.[0m
[32m2026-06-12 11:13:02.426[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:13:02.426[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:13:02.455[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.482912304778643, 'feature_1': 6.523067453795139, 'feature_2': 5.751551063702819, 'feature_3': 7.121454796833165, 'feature_4': 4.480560048090572}[0m
[32m2026-06-12 11:13:02.455[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.482912304778643, 'feature_1': 6.523067453795139, 'feature_2': 5.751551063702819, 'feature_3': 7.121454796833165, 'feature_4': 4.480560048090572}[0m
[32m2026-06-12 11:13:02.456[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.482912304778643, 6.523067453795139, 5.751551063702819, 7.121454796833165, 4.480560048090572], Scaled: [ 0.85708205 0.51980842 0.28888003 0.76134574 -0.161095 ][0m
[32m2026-06-12 11:13:02.457[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [5.32359000e-04 9.99467641e-01][0m
[32m2026-06-12 11:13:02.457[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.457[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.12 ms.[0m
[32m2026-06-12 11:13:02.457[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:13:02.457[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:13:02.504[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.9780562214643329, 'feature_1': 6.831864285252026, 'feature_2': 5.2444076151885435, 'feature_3': 7.570437430152244, 'feature_4': 4.016703473226756}[0m
[32m2026-06-12 11:13:02.504[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.9780562214643329, 'feature_1': 6.831864285252026, 'feature_2': 5.2444076151885435, 'feature_3': 7.570437430152244, 'feature_4': 4.016703473226756}[0m
[32m2026-06-12 11:13:02.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.9780562214643329, 6.831864285252026, 5.2444076151885435, 7.570437430152244, 4.016703473226756], Scaled: [-1.34147105 0.6217328 0.10835832 0.91875456 -0.32286195][0m
[32m2026-06-12 11:13:02.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.60078061 0.39921939][0m
[32m2026-06-12 11:13:02.506[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.506[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.87 ms.[0m
[32m2026-06-12 11:13:02.506[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 60.08%)[0m
[32m2026-06-12 11:13:02.506[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 60.08%)[0m
[32m2026-06-12 11:13:02.533[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.245395780310264, 'feature_1': 9.363732913373045, 'feature_2': 5.270830157331617, 'feature_3': 8.19602372616706, 'feature_4': 1.1878020987445426}[0m
[32m2026-06-12 11:13:02.533[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.245395780310264, 'feature_1': 9.363732913373045, 'feature_2': 5.270830157331617, 'feature_3': 8.19602372616706, 'feature_4': 1.1878020987445426}[0m
[32m2026-06-12 11:13:02.534[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.245395780310264, 9.363732913373045, 5.270830157331617, 8.19602372616706, 1.1878020987445426], Scaled: [ 0.10083182 1.45742509 0.11776363 1.13807885 -1.30942288][0m
[32m2026-06-12 11:13:02.535[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00534079 0.99465921][0m
[32m2026-06-12 11:13:02.535[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.535[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.96 ms.[0m
[32m2026-06-12 11:13:02.535[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.47%)[0m
[32m2026-06-12 11:13:02.535[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.47%)[0m
[32m2026-06-12 11:13:02.602[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.930372032136938, 'feature_1': 1.7893485094932426, 'feature_2': 6.421507276144368, 'feature_3': 0.9240605247221689, 'feature_4': 2.9678804477622736}[0m
[32m2026-06-12 11:13:02.603[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.930372032136938, 'feature_1': 1.7893485094932426, 'feature_2': 6.421507276144368, 'feature_3': 0.9240605247221689, 'feature_4': 2.9678804477622736}[0m
[32m2026-06-12 11:13:02.604[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.930372032136938, 1.7893485094932426, 6.421507276144368, 0.9240605247221689, 2.9678804477622736], Scaled: [-1.35758766 -1.04264722 0.52735623 -1.41139866 -0.68863215][0m
[32m2026-06-12 11:13:02.605[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999391e-01 6.09171294e-07][0m
[32m2026-06-12 11:13:02.605[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.605[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.10 ms.[0m
[32m2026-06-12 11:13:02.605[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.605[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.643[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.023848411359248534, 'feature_1': 7.443879389283827, 'feature_2': 1.7310231584320102, 'feature_3': 5.770296648194896, 'feature_4': 7.639348628764052}[0m
[32m2026-06-12 11:13:02.644[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.023848411359248534, 'feature_1': 7.443879389283827, 'feature_2': 1.7310231584320102, 'feature_3': 5.770296648194896, 'feature_4': 7.639348628764052}[0m
[32m2026-06-12 11:13:02.645[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.023848411359248534, 7.443879389283827, 1.7310231584320102, 5.770296648194896, 7.639348628764052], Scaled: [-1.66398034 0.82374024 -1.1422586 0.28764322 0.94051194][0m
[32m2026-06-12 11:13:02.646[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.95372507 0.04627493][0m
[32m2026-06-12 11:13:02.646[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.646[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.10 ms.[0m
[32m2026-06-12 11:13:02.646[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 95.37%)[0m
[32m2026-06-12 11:13:02.646[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 95.37%)[0m
[32m2026-06-12 11:13:02.713[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.6987572107395534, 'feature_1': 4.552412638321256, 'feature_2': 4.21325438845305, 'feature_3': 4.08851870840369, 'feature_4': 0.9169205976689665}[0m
[32m2026-06-12 11:13:02.713[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.6987572107395534, 'feature_1': 4.552412638321256, 'feature_2': 4.21325438845305, 'feature_3': 4.08851870840369, 'feature_4': 0.9169205976689665}[0m
[32m2026-06-12 11:13:02.714[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.6987572107395534, 4.552412638321256, 4.21325438845305, 4.08851870840369, 0.9169205976689665], Scaled: [-1.43587032 -0.13064438 -0.25868881 -0.3019713 -1.40389104][0m
[32m2026-06-12 11:13:02.715[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99996324e-01 3.67575981e-06][0m
[32m2026-06-12 11:13:02.715[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.715[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.03 ms.[0m
[32m2026-06-12 11:13:02.715[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.715[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.779[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.4915862611962085, 'feature_1': 0.6647966953750173, 'feature_2': 3.6381589315191567, 'feature_3': 0.09884082600352562, 'feature_4': 3.4350792524869336}[0m
[32m2026-06-12 11:13:02.779[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.4915862611962085, 'feature_1': 0.6647966953750173, 'feature_2': 3.6381589315191567, 'feature_3': 0.09884082600352562, 'feature_4': 3.4350792524869336}[0m
[32m2026-06-12 11:13:02.780[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.4915862611962085, 0.6647966953750173, 3.6381589315191567, 0.09884082600352562, 3.4350792524869336], Scaled: [ 0.18404086 -1.41382734 -0.46339858 -1.70071243 -0.52569961][0m
[32m2026-06-12 11:13:02.781[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999257e-01 7.43049123e-07][0m
[32m2026-06-12 11:13:02.781[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.781[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.95 ms.[0m
[32m2026-06-12 11:13:02.781[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.781[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.822[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.213520690250801, 'feature_1': 1.8967624477942302, 'feature_2': 8.697420682148596, 'feature_3': 2.721652058169366, 'feature_4': 3.4065932208097482}[0m
[32m2026-06-12 11:13:02.822[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.213520690250801, 'feature_1': 1.8967624477942302, 'feature_2': 8.697420682148596, 'feature_3': 2.721652058169366, 'feature_4': 3.4065932208097482}[0m
[32m2026-06-12 11:13:02.823[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.213520690250801, 1.8967624477942302, 8.697420682148596, 2.721652058169366, 3.4065932208097482], Scaled: [-0.92390082 -1.00719317 1.33748556 -0.78118106 -0.53563393][0m
[32m2026-06-12 11:13:02.824[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99280072e-01 7.19927559e-04][0m
[32m2026-06-12 11:13:02.824[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.824[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.18 ms.[0m
[32m2026-06-12 11:13:02.824[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.93%)[0m
[32m2026-06-12 11:13:02.824[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.93%)[0m
[32m2026-06-12 11:13:02.895[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.7547484044391326, 'feature_1': 0.3777973057565742, 'feature_2': 4.883193178429227, 'feature_3': 5.296805703155748, 'feature_4': 8.308529870113347}[0m
[32m2026-06-12 11:13:02.896[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.7547484044391326, 'feature_1': 0.3777973057565742, 'feature_2': 4.883193178429227, 'feature_3': 5.296805703155748, 'feature_4': 8.308529870113347}[0m
[32m2026-06-12 11:13:02.897[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.7547484044391326, 0.3777973057565742, 4.883193178429227, 5.296805703155748, 8.308529870113347], Scaled: [-1.07895963 -1.50855705 -0.02021881 0.12164203 1.17388454][0m
[32m2026-06-12 11:13:02.898[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99602441 0.00397559][0m
[32m2026-06-12 11:13:02.898[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:02.898[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.99 ms.[0m
[32m2026-06-12 11:13:02.898[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.60%)[0m
[32m2026-06-12 11:13:02.898[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.60%)[0m
[32m2026-06-12 11:13:02.962[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.628939443802082, 'feature_1': 6.475840870369445, 'feature_2': 8.712337434915764, 'feature_3': 8.106962894254098, 'feature_4': 1.6156677236865025}[0m
[32m2026-06-12 11:13:02.962[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.628939443802082, 'feature_1': 6.475840870369445, 'feature_2': 8.712337434915764, 'feature_3': 8.106962894254098, 'feature_4': 1.6156677236865025}[0m
[32m2026-06-12 11:13:02.963[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.628939443802082, 6.475840870369445, 8.712337434915764, 8.106962894254098, 1.6156677236865025], Scaled: [ 1.5824101 0.50422038 1.3427953 1.10685502 -1.16020753][0m
[32m2026-06-12 11:13:02.963[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.02749884e-05 9.99989725e-01][0m
[32m2026-06-12 11:13:02.963[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:02.963[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:02.963[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:02.963[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.010[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.580346605558427, 'feature_1': 2.0229738681311895, 'feature_2': 1.6398672328624397, 'feature_3': 1.2755543702892103, 'feature_4': 0.8645445205710445}[0m
[32m2026-06-12 11:13:03.010[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.580346605558427, 'feature_1': 2.0229738681311895, 'feature_2': 1.6398672328624397, 'feature_3': 1.2755543702892103, 'feature_4': 0.8645445205710445}[0m
[32m2026-06-12 11:13:03.011[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.580346605558427, 2.0229738681311895, 1.6398672328624397, 1.2755543702892103, 0.8645445205710445], Scaled: [ 0.55202709 -0.96553465 -1.17470627 -1.28816844 -1.42215685][0m
[32m2026-06-12 11:13:03.011[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999744e-01 2.55886901e-07][0m
[32m2026-06-12 11:13:03.011[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.011[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:03.011[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.011[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.068[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.065417091392163, 'feature_1': 7.006032071215081, 'feature_2': 9.55768360039763, 'feature_3': 0.39829015501848697, 'feature_4': 4.622883703963216}[0m
[32m2026-06-12 11:13:03.068[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.065417091392163, 'feature_1': 7.006032071215081, 'feature_2': 9.55768360039763, 'feature_3': 0.39829015501848697, 'feature_4': 4.622883703963216}[0m
[32m2026-06-12 11:13:03.069[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.065417091392163, 7.006032071215081, 9.55768360039763, 0.39829015501848697, 4.622883703963216], Scaled: [ 0.71597433 0.67922025 1.64370294 -1.59572849 -0.11146055][0m
[32m2026-06-12 11:13:03.070[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01199375 0.98800625][0m
[32m2026-06-12 11:13:03.070[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.070[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.78 ms.[0m
[32m2026-06-12 11:13:03.070[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.80%)[0m
[32m2026-06-12 11:13:03.070[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.80%)[0m
[32m2026-06-12 11:13:03.118[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.274580089182313, 'feature_1': 1.501321993752257, 'feature_2': 4.571008044029595, 'feature_3': 4.989146906356195, 'feature_4': 6.904246672943409}[0m
[32m2026-06-12 11:13:03.118[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.274580089182313, 'feature_1': 1.501321993752257, 'feature_2': 4.571008044029595, 'feature_3': 4.989146906356195, 'feature_4': 6.904246672943409}[0m
[32m2026-06-12 11:13:03.119[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.274580089182313, 1.501321993752257, 4.571008044029595, 4.989146906356195, 6.904246672943409], Scaled: [-0.56527714 -1.13771596 -0.13134357 0.01377994 0.68414992][0m
[32m2026-06-12 11:13:03.120[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99125728 0.00874272][0m
[32m2026-06-12 11:13:03.120[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.120[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:13:03.120[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.13%)[0m
[32m2026-06-12 11:13:03.120[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.13%)[0m
[32m2026-06-12 11:13:03.186[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.416675396917356, 'feature_1': 7.289904608500915, 'feature_2': 6.4507152330461635, 'feature_3': 4.079431612291694, 'feature_4': 3.857097306397562}[0m
[32m2026-06-12 11:13:03.186[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.416675396917356, 'feature_1': 7.289904608500915, 'feature_2': 6.4507152330461635, 'feature_3': 4.079431612291694, 'feature_4': 3.857097306397562}[0m
[32m2026-06-12 11:13:03.187[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.416675396917356, 7.289904608500915, 6.4507152330461635, 4.079431612291694, 3.857097306397562], Scaled: [ 0.49670844 0.77291788 0.53775303 -0.30515714 -0.37852357][0m
[32m2026-06-12 11:13:03.188[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02393042 0.97606958][0m
[32m2026-06-12 11:13:03.188[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.188[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.77 ms.[0m
[32m2026-06-12 11:13:03.188[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.61%)[0m
[32m2026-06-12 11:13:03.188[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.61%)[0m
[32m2026-06-12 11:13:03.214[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.665413896227771, 'feature_1': 0.7108225800430612, 'feature_2': 9.252971875720739, 'feature_3': 1.3669234565138955, 'feature_4': 3.910469316656707}[0m
[32m2026-06-12 11:13:03.214[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.665413896227771, 'feature_1': 0.7108225800430612, 'feature_2': 9.252971875720739, 'feature_3': 1.3669234565138955, 'feature_4': 3.910469316656707}[0m
[32m2026-06-12 11:13:03.214[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.665413896227771, 0.7108225800430612, 9.252971875720739, 1.3669234565138955, 3.910469316656707], Scaled: [-1.10915348 -1.3986356 1.53523839 -1.25613535 -0.35991042][0m
[32m2026-06-12 11:13:03.215[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99937704e-01 6.22956881e-05][0m
[32m2026-06-12 11:13:03.215[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.215[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:03.215[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:03.215[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:03.246[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.127798269477147, 'feature_1': 3.59743903868895, 'feature_2': 9.79466510233333, 'feature_3': 1.0771557829268974, 'feature_4': 7.7823085201322595}[0m
[32m2026-06-12 11:13:03.246[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.127798269477147, 'feature_1': 3.59743903868895, 'feature_2': 9.79466510233333, 'feature_3': 1.0771557829268974, 'feature_4': 7.7823085201322595}[0m
[32m2026-06-12 11:13:03.247[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.127798269477147, 3.59743903868895, 9.79466510233333, 1.0771557829268974, 7.7823085201322595], Scaled: [ 0.06108546 -0.44585192 1.72805837 -1.357725 0.99036827][0m
[32m2026-06-12 11:13:03.247[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.06136696 0.93863304][0m
[32m2026-06-12 11:13:03.247[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.248[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:03.248[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 93.86%)[0m
[32m2026-06-12 11:13:03.248[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 93.86%)[0m
[32m2026-06-12 11:13:03.319[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.4311103047338, 'feature_1': 2.6924717536838294, 'feature_2': 9.652155599212229, 'feature_3': 8.034411102599051, 'feature_4': 9.622050685987876}[0m
[32m2026-06-12 11:13:03.319[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.4311103047338, 'feature_1': 2.6924717536838294, 'feature_2': 9.652155599212229, 'feature_3': 8.034411102599051, 'feature_4': 9.622050685987876}[0m
[32m2026-06-12 11:13:03.320[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.4311103047338, 2.6924717536838294, 9.652155599212229, 8.034411102599051, 9.622050685987876], Scaled: [ 1.17756011 -0.7445539 1.67733099 1.08141908 1.63196637][0m
[32m2026-06-12 11:13:03.321[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.38021771e-07 9.99999862e-01][0m
[32m2026-06-12 11:13:03.321[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.321[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:03.321[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.321[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.364[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.280798214180601, 'feature_1': 0.32571202710883984, 'feature_2': 5.60302589627309, 'feature_3': 0.5242768457064262, 'feature_4': 9.738132653131224}[0m
[32m2026-06-12 11:13:03.364[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.280798214180601, 'feature_1': 0.32571202710883984, 'feature_2': 5.60302589627309, 'feature_3': 0.5242768457064262, 'feature_4': 9.738132653131224}[0m
[32m2026-06-12 11:13:03.365[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.280798214180601, 0.32571202710883984, 5.60302589627309, 0.5242768457064262, 9.738132653131224], Scaled: [ 0.11279737 -1.5257488 0.23601132 -1.55155882 1.6724492 ][0m
[32m2026-06-12 11:13:03.366[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9897767 0.0102233][0m
[32m2026-06-12 11:13:03.366[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.366[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:03.366[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.98%)[0m
[32m2026-06-12 11:13:03.366[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.98%)[0m
[32m2026-06-12 11:13:03.434[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.286120893632763, 'feature_1': 1.9429894813371984, 'feature_2': 9.332279008287419, 'feature_3': 1.9376322208295504, 'feature_4': 0.5871821278377076}[0m
[32m2026-06-12 11:13:03.434[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.286120893632763, 'feature_1': 1.9429894813371984, 'feature_2': 9.332279008287419, 'feature_3': 1.9376322208295504, 'feature_4': 0.5871821278377076}[0m
[32m2026-06-12 11:13:03.435[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.286120893632763, 1.9429894813371984, 9.332279008287419, 1.9376322208295504, 0.5871821278377076], Scaled: [-0.22339007 -0.99193505 1.56346839 -1.05605057 -1.51888518][0m
[32m2026-06-12 11:13:03.435[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99712145e-01 2.87855184e-04][0m
[32m2026-06-12 11:13:03.435[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.435[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:03.435[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:13:03.436[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:13:03.470[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.8730031010552324, 'feature_1': 9.023196129966173, 'feature_2': 2.3990542093877187, 'feature_3': 9.27984299292213, 'feature_4': 8.794798189009176}[0m
[32m2026-06-12 11:13:03.471[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.8730031010552324, 'feature_1': 9.023196129966173, 'feature_2': 2.3990542093877187, 'feature_3': 9.27984299292213, 'feature_4': 8.794798189009176}[0m
[32m2026-06-12 11:13:03.471[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.8730031010552324, 9.023196129966173, 2.3990542093877187, 9.27984299292213, 8.794798189009176], Scaled: [-0.36301828 1.34502433 -0.90446768 1.51805504 1.34346745][0m
[32m2026-06-12 11:13:03.472[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [5.58316260e-05 9.99944168e-01][0m
[32m2026-06-12 11:13:03.472[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.472[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:03.472[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:03.472[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:03.518[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.8425715253827082, 'feature_1': 0.34751005284999303, 'feature_2': 0.5506057789632546, 'feature_3': 0.5455754176385552, 'feature_4': 6.0541606293649455}[0m
[32m2026-06-12 11:13:03.518[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.8425715253827082, 'feature_1': 0.34751005284999303, 'feature_2': 0.5506057789632546, 'feature_3': 0.5455754176385552, 'feature_4': 6.0541606293649455}[0m
[32m2026-06-12 11:13:03.519[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.8425715253827082, 0.34751005284999303, 0.5506057789632546, 0.5455754176385552, 6.0541606293649455], Scaled: [-1.38726304 -1.51855394 -1.56243748 -1.54409175 0.38768795][0m
[32m2026-06-12 11:13:03.520[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999998e-01 1.69018160e-09][0m
[32m2026-06-12 11:13:03.520[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.520[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:03.520[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.520[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.580[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.937648434460339, 'feature_1': 7.214867137801018, 'feature_2': 4.927507030824815, 'feature_3': 9.933347256119564, 'feature_4': 4.224174955378299}[0m
[32m2026-06-12 11:13:03.580[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.937648434460339, 'feature_1': 7.214867137801018, 'feature_2': 4.927507030824815, 'feature_3': 9.933347256119564, 'feature_4': 4.224174955378299}[0m
[32m2026-06-12 11:13:03.581[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.937648434460339, 7.214867137801018, 4.927507030824815, 9.933347256119564, 4.224174955378299], Scaled: [ 0.33480383 0.74815031 -0.00444495 1.74716709 -0.25050763][0m
[32m2026-06-12 11:13:03.582[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.83419193e-04 9.99816581e-01][0m
[32m2026-06-12 11:13:03.582[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.582[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.97 ms.[0m
[32m2026-06-12 11:13:03.582[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:03.582[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:03.644[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.8221387950757573, 'feature_1': 7.800056149587109, 'feature_2': 9.394027438404233, 'feature_3': 6.230675375492089, 'feature_4': 4.447807067093766}[0m
[32m2026-06-12 11:13:03.644[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.8221387950757573, 'feature_1': 7.800056149587109, 'feature_2': 9.394027438404233, 'feature_3': 6.230675375492089, 'feature_4': 4.447807067093766}[0m
[32m2026-06-12 11:13:03.645[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.8221387950757573, 7.800056149587109, 9.394027438404233, 6.230675375492089, 4.447807067093766], Scaled: [-1.05618259 0.94130328 1.58544823 0.44904739 -0.17251739][0m
[32m2026-06-12 11:13:03.645[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00325291 0.99674709][0m
[32m2026-06-12 11:13:03.645[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.645[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:03.645[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.67%)[0m
[32m2026-06-12 11:13:03.645[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.67%)[0m
[32m2026-06-12 11:13:03.672[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.1246311061127807, 'feature_1': 8.276326217790608, 'feature_2': 8.849921860355153, 'feature_3': 0.03063335053770988, 'feature_4': 6.4290237388667135}[0m
[32m2026-06-12 11:13:03.672[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.1246311061127807, 'feature_1': 8.276326217790608, 'feature_2': 8.849921860355153, 'feature_3': 0.03063335053770988, 'feature_4': 6.4290237388667135}[0m
[32m2026-06-12 11:13:03.673[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.1246311061127807, 8.276326217790608, 8.849921860355153, 0.03063335053770988, 6.4290237388667135], Scaled: [-0.95394429 1.09850545 1.39176956 -1.72462529 0.51841902][0m
[32m2026-06-12 11:13:03.673[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.28956876 0.71043124][0m
[32m2026-06-12 11:13:03.673[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.673[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:03.673[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 71.04%)[0m
[32m2026-06-12 11:13:03.673[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 71.04%)[0m
[32m2026-06-12 11:13:03.728[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.637472551365493, 'feature_1': 2.626351990737519, 'feature_2': 7.201745156003306, 'feature_3': 8.599877473789723, 'feature_4': 0.6640809602043762}[0m
[32m2026-06-12 11:13:03.728[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.637472551365493, 'feature_1': 2.626351990737519, 'feature_2': 7.201745156003306, 'feature_3': 8.599877473789723, 'feature_4': 0.6640809602043762}[0m
[32m2026-06-12 11:13:03.729[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.637472551365493, 2.626351990737519, 7.201745156003306, 8.599877473789723, 0.6640809602043762], Scaled: [ 0.57133488 -0.76637801 0.80508806 1.27966593 -1.49206721][0m
[32m2026-06-12 11:13:03.730[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.28798322 0.71201678][0m
[32m2026-06-12 11:13:03.730[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.730[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:03.730[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 71.20%)[0m
[32m2026-06-12 11:13:03.730[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 71.20%)[0m
[32m2026-06-12 11:13:03.783[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.1824357504726883, 'feature_1': 4.829623089709249, 'feature_2': 1.8137546180623776, 'feature_3': 0.015018825469120811, 'feature_4': 0.6847024828415904}[0m
[32m2026-06-12 11:13:03.783[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.1824357504726883, 'feature_1': 4.829623089709249, 'feature_2': 1.8137546180623776, 'feature_3': 0.015018825469120811, 'feature_4': 0.6847024828415904}[0m
[32m2026-06-12 11:13:03.784[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.1824357504726883, 4.829623089709249, 1.8137546180623776, 0.015018825469120811, 0.6847024828415904], Scaled: [-0.59642068 -0.0391457 -1.11280969 -1.73009958 -1.48487559][0m
[32m2026-06-12 11:13:03.785[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999969e-01 3.10546654e-08][0m
[32m2026-06-12 11:13:03.785[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.785[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:03.785[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.785[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.829[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.4005902008017785, 'feature_1': 1.288128660268214, 'feature_2': 9.293951015669103, 'feature_3': 0.6283432409825229, 'feature_4': 5.257605468504708}[0m
[32m2026-06-12 11:13:03.829[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.4005902008017785, 'feature_1': 1.288128660268214, 'feature_2': 9.293951015669103, 'feature_3': 0.6283432409825229, 'feature_4': 5.257605468504708}[0m
[32m2026-06-12 11:13:03.830[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.4005902008017785, 1.288128660268214, 9.293951015669103, 0.6283432409825229, 5.257605468504708], Scaled: [-0.52268743 -1.20808455 1.54982524 -1.51507418 0.10989453][0m
[32m2026-06-12 11:13:03.830[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99796927 0.00203073][0m
[32m2026-06-12 11:13:03.830[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.830[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:03.830[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.80%)[0m
[32m2026-06-12 11:13:03.830[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.80%)[0m
[32m2026-06-12 11:13:03.874[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.346620122948615, 'feature_1': 0.7846879256978945, 'feature_2': 3.4119075487452633, 'feature_3': 1.1087941637849985, 'feature_4': 0.8819920495439115}[0m
[32m2026-06-12 11:13:03.874[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.346620122948615, 'feature_1': 0.7846879256978945, 'feature_2': 3.4119075487452633, 'feature_3': 1.1087941637849985, 'feature_4': 0.8819920495439115}[0m
[32m2026-06-12 11:13:03.875[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.346620122948615, 0.7846879256978945, 3.4119075487452633, 1.1087941637849985, 0.8819920495439115], Scaled: [ 1.14900357 -1.37425491 -0.54393454 -1.3466329 -1.41607214][0m
[32m2026-06-12 11:13:03.876[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99996674e-01 3.32613819e-06][0m
[32m2026-06-12 11:13:03.876[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:03.877[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.11 ms.[0m
[32m2026-06-12 11:13:03.877[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.877[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:03.944[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.5149070403986689, 'feature_1': 9.040423015865622, 'feature_2': 4.816487602091234, 'feature_3': 9.957621995134636, 'feature_4': 1.6935819507730643}[0m
[32m2026-06-12 11:13:03.945[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.5149070403986689, 'feature_1': 9.040423015865622, 'feature_2': 4.816487602091234, 'feature_3': 9.957621995134636, 'feature_4': 1.6935819507730643}[0m
[32m2026-06-12 11:13:03.945[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.5149070403986689, 9.040423015865622, 4.816487602091234, 9.957621995134636, 1.6935819507730643], Scaled: [-1.49800919 1.3507104 -0.04396319 1.75567757 -1.13303545][0m
[32m2026-06-12 11:13:03.946[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.20324973 0.79675027][0m
[32m2026-06-12 11:13:03.946[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:03.946[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:03.946[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 79.68%)[0m
[32m2026-06-12 11:13:03.946[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 79.68%)[0m
[32m2026-06-12 11:13:04.001[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9896769337458515, 'feature_1': 9.81473645880226, 'feature_2': 8.323556390870376, 'feature_3': 3.99581588431682, 'feature_4': 3.535395772693909}[0m
[32m2026-06-12 11:13:04.002[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9896769337458515, 'feature_1': 9.81473645880226, 'feature_2': 8.323556390870376, 'feature_3': 3.99581588431682, 'feature_4': 3.535395772693909}[0m
[32m2026-06-12 11:13:04.003[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9896769337458515, 9.81473645880226, 8.323556390870376, 3.99581588431682, 3.535395772693909], Scaled: [-0.66157054 1.60628755 1.20440562 -0.33447198 -0.49071488][0m
[32m2026-06-12 11:13:04.004[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01064874 0.98935126][0m
[32m2026-06-12 11:13:04.005[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:04.005[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.83 ms.[0m
[32m2026-06-12 11:13:04.005[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.94%)[0m
[32m2026-06-12 11:13:04.005[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.94%)[0m
[32m2026-06-12 11:13:04.038[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.648579336252729, 'feature_1': 0.31014159213118897, 'feature_2': 8.551982179059367, 'feature_3': 4.019262021805278, 'feature_4': 5.966953635728542}[0m
[32m2026-06-12 11:13:04.039[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.648579336252729, 'feature_1': 0.31014159213118897, 'feature_2': 8.551982179059367, 'feature_3': 4.019262021805278, 'feature_4': 5.966953635728542}[0m
[32m2026-06-12 11:13:04.039[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.648579336252729, 0.31014159213118897, 8.551982179059367, 4.019262021805278, 5.966953635728542], Scaled: [-0.10088404 -1.53088813 1.28571558 -0.326252 0.35727508][0m
[32m2026-06-12 11:13:04.040[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.87502679 0.12497321][0m
[32m2026-06-12 11:13:04.040[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.040[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:04.040[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 87.50%)[0m
[32m2026-06-12 11:13:04.040[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 87.50%)[0m
[32m2026-06-12 11:13:04.095[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.9678479171946317, 'feature_1': 3.6494239435162856, 'feature_2': 8.583976146661008, 'feature_3': 0.6398033212979837, 'feature_4': 6.826880554240333}[0m
[32m2026-06-12 11:13:04.095[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.9678479171946317, 'feature_1': 3.6494239435162856, 'feature_2': 8.583976146661008, 'feature_3': 0.6398033212979837, 'feature_4': 6.826880554240333}[0m
[32m2026-06-12 11:13:04.096[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.9678479171946317, 3.6494239435162856, 8.583976146661008, 0.6398033212979837, 6.826880554240333], Scaled: [-1.00693488 -0.42869329 1.29710408 -1.51105639 0.65716899][0m
[32m2026-06-12 11:13:04.097[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98294934 0.01705066][0m
[32m2026-06-12 11:13:04.097[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.097[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:04.097[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.29%)[0m
[32m2026-06-12 11:13:04.097[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.29%)[0m
[32m2026-06-12 11:13:04.138[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.5100290899990589, 'feature_1': 2.181291077831177, 'feature_2': 8.142921091304022, 'feature_3': 5.338847865213275, 'feature_4': 7.350830672033899}[0m
[32m2026-06-12 11:13:04.138[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.5100290899990589, 'feature_1': 2.181291077831177, 'feature_2': 8.142921091304022, 'feature_3': 5.338847865213275, 'feature_4': 7.350830672033899}[0m
[32m2026-06-12 11:13:04.140[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.5100290899990589, 2.181291077831177, 8.142921091304022, 5.338847865213275, 7.350830672033899], Scaled: [-1.49965787 -0.91327899 1.14010706 0.13638159 0.83989318][0m
[32m2026-06-12 11:13:04.141[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.86888361 0.13111639][0m
[32m2026-06-12 11:13:04.141[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.141[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.20 ms.[0m
[32m2026-06-12 11:13:04.142[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 86.89%)[0m
[32m2026-06-12 11:13:04.142[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 86.89%)[0m
[32m2026-06-12 11:13:04.180[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9177580340799656, 'feature_1': 6.876730874347191, 'feature_2': 4.534376995772561, 'feature_3': 1.2138182883329351, 'feature_4': 3.718816589508658}[0m
[32m2026-06-12 11:13:04.180[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9177580340799656, 'feature_1': 6.876730874347191, 'feature_2': 4.534376995772561, 'feature_3': 1.2138182883329351, 'feature_4': 3.718816589508658}[0m
[32m2026-06-12 11:13:04.181[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9177580340799656, 6.876730874347191, 4.534376995772561, 1.2138182883329351, 3.718816589508658], Scaled: [-0.68587815 0.63654189 -0.14438268 -1.30981249 -0.42674806][0m
[32m2026-06-12 11:13:04.181[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9989429 0.0010571][0m
[32m2026-06-12 11:13:04.181[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.182[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:04.182[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:13:04.182[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.89%)[0m
[32m2026-06-12 11:13:04.230[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.9483355682158012, 'feature_1': 9.181234288295247, 'feature_2': 0.029861388473514383, 'feature_3': 9.004966155421501, 'feature_4': 2.8400321708387812}[0m
[32m2026-06-12 11:13:04.230[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.9483355682158012, 'feature_1': 9.181234288295247, 'feature_2': 0.029861388473514383, 'feature_3': 9.004966155421501, 'feature_4': 2.8400321708387812}[0m
[32m2026-06-12 11:13:04.231[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.9483355682158012, 9.181234288295247, 0.029861388473514383, 9.004966155421501, 2.8400321708387812], Scaled: [-1.35151622 1.39718789 -1.74780056 1.42168597 -0.73321841][0m
[32m2026-06-12 11:13:04.232[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.9731226 0.0268774][0m
[32m2026-06-12 11:13:04.232[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.232[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:04.232[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 97.31%)[0m
[32m2026-06-12 11:13:04.232[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 97.31%)[0m
[32m2026-06-12 11:13:04.281[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.49348454455095725, 'feature_1': 3.971929497390115, 'feature_2': 5.394135916142794, 'feature_3': 0.09098863286117975, 'feature_4': 4.718954898956418}[0m
[32m2026-06-12 11:13:04.281[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.49348454455095725, 'feature_1': 3.971929497390115, 'feature_2': 5.394135916142794, 'feature_3': 0.09098863286117975, 'feature_4': 4.718954898956418}[0m
[32m2026-06-12 11:13:04.282[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.49348454455095725, 3.971929497390115, 5.394135916142794, 0.09098863286117975, 4.718954898956418], Scaled: [-1.5052497 -0.32224408 0.16165529 -1.70346533 -0.07795635][0m
[32m2026-06-12 11:13:04.282[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99995840e-01 4.15953173e-06][0m
[32m2026-06-12 11:13:04.282[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.283[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:13:04.283[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.283[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.312[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.128038531553669, 'feature_1': 4.234989187042455, 'feature_2': 6.109923863169934, 'feature_3': 8.2429293033264, 'feature_4': 1.757469683388052}[0m
[32m2026-06-12 11:13:04.312[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.128038531553669, 'feature_1': 4.234989187042455, 'feature_2': 6.109923863169934, 'feature_3': 8.2429293033264, 'feature_4': 1.757469683388052}[0m
[32m2026-06-12 11:13:04.313[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.128038531553669, 4.234989187042455, 6.109923863169934, 8.2429293033264, 1.757469683388052], Scaled: [ 0.06116667 -0.23541614 0.41644565 1.15452348 -1.11075502][0m
[32m2026-06-12 11:13:04.314[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.35764095 0.64235905][0m
[32m2026-06-12 11:13:04.314[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:04.314[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.03 ms.[0m
[32m2026-06-12 11:13:04.314[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 64.24%)[0m
[32m2026-06-12 11:13:04.314[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 64.24%)[0m
[32m2026-06-12 11:13:04.360[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.845742680166568, 'feature_1': 8.13753444731713, 'feature_2': 6.852818840599085, 'feature_3': 7.830565207338874, 'feature_4': 1.780975975024307}[0m
[32m2026-06-12 11:13:04.360[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.845742680166568, 'feature_1': 8.13753444731713, 'feature_2': 6.852818840599085, 'feature_3': 7.830565207338874, 'feature_4': 1.780975975024307}[0m
[32m2026-06-12 11:13:04.361[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.845742680166568, 8.13753444731713, 6.852818840599085, 7.830565207338874, 1.780975975024307], Scaled: [ 0.97971379 1.05269453 0.68088498 1.00995275 -1.10255735][0m
[32m2026-06-12 11:13:04.362[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.24324648e-04 9.99875675e-01][0m
[32m2026-06-12 11:13:04.362[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:04.362[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.77 ms.[0m
[32m2026-06-12 11:13:04.362[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:04.362[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:04.399[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.8774644687691335, 'feature_1': 5.746281602677028, 'feature_2': 8.332140722861263, 'feature_3': 6.026506183995277, 'feature_4': 2.6830737620392653}[0m
[32m2026-06-12 11:13:04.399[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.8774644687691335, 'feature_1': 5.746281602677028, 'feature_2': 8.332140722861263, 'feature_3': 6.026506183995277, 'feature_4': 2.6830737620392653}[0m
[32m2026-06-12 11:13:04.400[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.8774644687691335, 5.746281602677028, 8.332140722861263, 6.026506183995277, 2.6830737620392653], Scaled: [ 0.31446246 0.2634152 1.20746128 0.37746772 -0.78795663][0m
[32m2026-06-12 11:13:04.400[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01157985 0.98842015][0m
[32m2026-06-12 11:13:04.401[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:04.401[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:04.401[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.84%)[0m
[32m2026-06-12 11:13:04.401[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.84%)[0m
[32m2026-06-12 11:13:04.437[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.709359398757756, 'feature_1': 0.32896192235470356, 'feature_2': 2.1097188304370973, 'feature_3': 4.983371530933481, 'feature_4': 3.605194402188637}[0m
[32m2026-06-12 11:13:04.438[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.709359398757756, 'feature_1': 0.32896192235470356, 'feature_2': 2.1097188304370973, 'feature_3': 4.983371530933481, 'feature_4': 3.605194402188637}[0m
[32m2026-06-12 11:13:04.439[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.709359398757756, 0.32896192235470356, 2.1097188304370973, 4.983371530933481, 3.605194402188637], Scaled: [ 0.59563166 -1.52467611 -1.00745889 0.01175515 -0.46637306][0m
[32m2026-06-12 11:13:04.441[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99865856e-01 1.34144131e-04][0m
[32m2026-06-12 11:13:04.442[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.442[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 2.93 ms.[0m
[32m2026-06-12 11:13:04.442[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:04.442[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:04.501[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.0853242927161615, 'feature_1': 2.202214565148207, 'feature_2': 1.309436738997588, 'feature_3': 4.597666557426794, 'feature_4': 2.5543989117694874}[0m
[32m2026-06-12 11:13:04.501[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.0853242927161615, 'feature_1': 2.202214565148207, 'feature_2': 1.309436738997588, 'feature_3': 4.597666557426794, 'feature_4': 2.5543989117694874}[0m
[32m2026-06-12 11:13:04.502[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.0853242927161615, 2.202214565148207, 1.309436738997588, 4.597666557426794, 2.5543989117694874], Scaled: [-0.62924303 -0.90637278 -1.29232561 -0.12346916 -0.83283114][0m
[32m2026-06-12 11:13:04.503[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99998735e-01 1.26459675e-06][0m
[32m2026-06-12 11:13:04.503[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.503[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:04.503[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.503[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.301333969574149, 'feature_1': 0.6833958436221954, 'feature_2': 4.284277976312975, 'feature_3': 2.6778991264424223, 'feature_4': 2.546794976215705}[0m
[32m2026-06-12 11:13:04.546[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.301333969574149, 'feature_1': 0.6833958436221954, 'feature_2': 4.284277976312975, 'feature_3': 2.6778991264424223, 'feature_4': 2.546794976215705}[0m
[32m2026-06-12 11:13:04.546[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.301333969574149, 0.6833958436221954, 4.284277976312975, 2.6778991264424223, 2.546794976215705], Scaled: [ 1.13369747 -1.40768833 -0.2334074 -0.7965204 -0.83548297][0m
[32m2026-06-12 11:13:04.547[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99639432e-01 3.60567944e-04][0m
[32m2026-06-12 11:13:04.547[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.547[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:04.547[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:04.547[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:04.620[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.694995221368455, 'feature_1': 6.364224588674335, 'feature_2': 0.06322149521785447, 'feature_3': 0.996958332491471, 'feature_4': 6.754618214068416}[0m
[32m2026-06-12 11:13:04.620[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.694995221368455, 'feature_1': 6.364224588674335, 'feature_2': 0.06322149521785447, 'feature_3': 0.996958332491471, 'feature_4': 6.754618214068416}[0m
[32m2026-06-12 11:13:04.621[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.694995221368455, 6.364224588674335, 0.06322149521785447, 0.996958332491471, 6.754618214068416], Scaled: [ 0.9287632 0.46737926 -1.73592576 -1.38584142 0.63196797][0m
[32m2026-06-12 11:13:04.622[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98214012 0.01785988][0m
[32m2026-06-12 11:13:04.622[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.622[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.84 ms.[0m
[32m2026-06-12 11:13:04.622[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.21%)[0m
[32m2026-06-12 11:13:04.622[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.21%)[0m
[32m2026-06-12 11:13:04.692[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.12986997276165368, 'feature_1': 9.31158271377805, 'feature_2': 0.3401310085260756, 'feature_3': 3.6969421136665748, 'feature_4': 0.2793172636215835}[0m
[32m2026-06-12 11:13:04.692[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.12986997276165368, 'feature_1': 9.31158271377805, 'feature_2': 0.3401310085260756, 'feature_3': 3.6969421136665748, 'feature_4': 0.2793172636215835}[0m
[32m2026-06-12 11:13:04.693[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.12986997276165368, 9.31158271377805, 0.3401310085260756, 3.6969421136665748, 0.2793172636215835], Scaled: [-1.62814649 1.44021191 -1.63735764 -0.43925413 -1.62625105][0m
[32m2026-06-12 11:13:04.694[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.9999836e-01 1.6402038e-06][0m
[32m2026-06-12 11:13:04.694[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.694[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.78 ms.[0m
[32m2026-06-12 11:13:04.694[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.694[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.726[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.10403367730926, 'feature_1': 9.559026996267516, 'feature_2': 3.468153903895448, 'feature_3': 4.870405680931244, 'feature_4': 9.775046358985213}[0m
[32m2026-06-12 11:13:04.726[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.10403367730926, 'feature_1': 9.559026996267516, 'feature_2': 3.468153903895448, 'feature_3': 4.870405680931244, 'feature_4': 9.775046358985213}[0m
[32m2026-06-12 11:13:04.727[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.10403367730926, 9.559026996267516, 3.468153903895448, 4.870405680931244, 9.775046358985213], Scaled: [ 0.05305335 1.52188569 -0.52391321 -0.02784955 1.68532261][0m
[32m2026-06-12 11:13:04.727[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.13928199e-04 9.99886072e-01][0m
[32m2026-06-12 11:13:04.727[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:04.727[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.76 ms.[0m
[32m2026-06-12 11:13:04.727[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:04.728[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:04.770[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.624874934650201, 'feature_1': 4.721098462799274, 'feature_2': 0.605721363187216, 'feature_3': 7.668691585726122, 'feature_4': 4.295488500982623}[0m
[32m2026-06-12 11:13:04.770[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.624874934650201, 'feature_1': 4.721098462799274, 'feature_2': 0.605721363187216, 'feature_3': 7.668691585726122, 'feature_4': 4.295488500982623}[0m
[32m2026-06-12 11:13:04.771[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.624874934650201, 4.721098462799274, 0.605721363187216, 7.668691585726122, 4.295488500982623], Scaled: [ 0.22909063 -0.07496635 -1.54281865 0.95320148 -0.22563749][0m
[32m2026-06-12 11:13:04.772[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.93615745 0.06384255][0m
[32m2026-06-12 11:13:04.772[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.772[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:04.772[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 93.62%)[0m
[32m2026-06-12 11:13:04.772[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 93.62%)[0m
[32m2026-06-12 11:13:04.833[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.317127661139312, 'feature_1': 1.587813453047755, 'feature_2': 9.424848881164118, 'feature_3': 0.3125029297842019, 'feature_4': 2.419641836152805}[0m
[32m2026-06-12 11:13:04.833[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.317127661139312, 'feature_1': 1.587813453047755, 'feature_2': 9.424848881164118, 'feature_3': 0.3125029297842019, 'feature_4': 2.419641836152805}[0m
[32m2026-06-12 11:13:04.834[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.317127661139312, 1.587813453047755, 9.424848881164118, 0.3125029297842019, 2.419641836152805], Scaled: [ 0.80104909 -1.10916777 1.59641937 -1.62580463 -0.8798268 ][0m
[32m2026-06-12 11:13:04.835[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99098153 0.00901847][0m
[32m2026-06-12 11:13:04.835[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.835[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.68 ms.[0m
[32m2026-06-12 11:13:04.835[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.10%)[0m
[32m2026-06-12 11:13:04.835[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.10%)[0m
[32m2026-06-12 11:13:04.891[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.8765445814126813, 'feature_1': 8.955675715626123, 'feature_2': 4.931556008201467, 'feature_3': 2.1168120628398923, 'feature_4': 7.765444108023064}[0m
[32m2026-06-12 11:13:04.891[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.8765445814126813, 'feature_1': 8.955675715626123, 'feature_2': 4.931556008201467, 'feature_3': 2.1168120628398923, 'feature_4': 7.765444108023064}[0m
[32m2026-06-12 11:13:04.892[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.8765445814126813, 8.955675715626123, 4.931556008201467, 2.1168120628398923, 7.765444108023064], Scaled: [-1.03779417 1.32273791 -0.00300368 -0.99323191 0.98448692][0m
[32m2026-06-12 11:13:04.893[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.33320159 0.66679841][0m
[32m2026-06-12 11:13:04.893[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:04.893[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.07 ms.[0m
[32m2026-06-12 11:13:04.893[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 66.68%)[0m
[32m2026-06-12 11:13:04.893[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 66.68%)[0m
[32m2026-06-12 11:13:04.928[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.293720185317687, 'feature_1': 1.1233652508659564, 'feature_2': 7.037496561642538, 'feature_3': 0.3809314454783752, 'feature_4': 0.3874674786820931}[0m
[32m2026-06-12 11:13:04.928[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.293720185317687, 'feature_1': 1.1233652508659564, 'feature_2': 7.037496561642538, 'feature_3': 0.3809314454783752, 'feature_4': 0.3874674786820931}[0m
[32m2026-06-12 11:13:04.929[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.293720185317687, 1.1233652508659564, 7.037496561642538, 0.3809314454783752, 0.3874674786820931], Scaled: [ 0.45515125 -1.2624679 0.74662247 -1.60181428 -1.58853436][0m
[32m2026-06-12 11:13:04.930[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99991341e-01 8.65885438e-06][0m
[32m2026-06-12 11:13:04.930[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.930[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.86 ms.[0m
[32m2026-06-12 11:13:04.930[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.930[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:04.981[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.5685829694979256, 'feature_1': 6.0157453018233, 'feature_2': 7.354931822836762, 'feature_3': 3.5979488084337072, 'feature_4': 4.174022592367265}[0m
[32m2026-06-12 11:13:04.981[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.5685829694979256, 'feature_1': 6.0157453018233, 'feature_2': 7.354931822836762, 'feature_3': 3.5979488084337072, 'feature_4': 4.174022592367265}[0m
[32m2026-06-12 11:13:04.982[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.5685829694979256, 6.0157453018233, 7.354931822836762, 3.5979488084337072, 4.174022592367265], Scaled: [-0.46590816 0.35235692 0.85961606 -0.47396019 -0.26799794][0m
[32m2026-06-12 11:13:04.983[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.57940415 0.42059585][0m
[32m2026-06-12 11:13:04.983[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:04.983[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:04.983[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 57.94%)[0m
[32m2026-06-12 11:13:04.983[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 57.94%)[0m
[32m2026-06-12 11:13:05.033[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.786910672423788, 'feature_1': 3.5155679121568006, 'feature_2': 5.975892437300583, 'feature_3': 8.648698174777913, 'feature_4': 7.880945690485481}[0m
[32m2026-06-12 11:13:05.034[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.786910672423788, 'feature_1': 3.5155679121568006, 'feature_2': 5.975892437300583, 'feature_3': 8.648698174777913, 'feature_4': 7.880945690485481}[0m
[32m2026-06-12 11:13:05.034[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.786910672423788, 3.5155679121568006, 5.975892437300583, 8.648698174777913, 7.880945690485481], Scaled: [ 1.63580223 -0.47287507 0.36873611 1.29678198 1.02476734][0m
[32m2026-06-12 11:13:05.035[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.23814070e-06 9.99996762e-01][0m
[32m2026-06-12 11:13:05.035[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.035[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:05.035[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.035[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.103[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.5539796432613819, 'feature_1': 3.526753809303944, 'feature_2': 8.990212656656691, 'feature_3': 1.5754322553677502, 'feature_4': 0.5801927905228044}[0m
[32m2026-06-12 11:13:05.103[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.5539796432613819, 'feature_1': 3.526753809303944, 'feature_2': 8.990212656656691, 'feature_3': 1.5754322553677502, 'feature_4': 0.5801927905228044}[0m
[32m2026-06-12 11:13:05.104[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.5539796432613819, 3.526753809303944, 8.990212656656691, 1.5754322553677502, 0.5801927905228044], Scaled: [-1.48480318 -0.46918294 1.44170718 -1.18303425 -1.52132267][0m
[32m2026-06-12 11:13:05.105[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99989891e-01 1.01093044e-05][0m
[32m2026-06-12 11:13:05.105[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:05.105[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:05.105[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.105[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.151[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.920200717528651, 'feature_1': 1.5832425516106585, 'feature_2': 6.158597371733294, 'feature_3': 8.89991278329563, 'feature_4': 7.589428415816343}[0m
[32m2026-06-12 11:13:05.151[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.920200717528651, 'feature_1': 1.5832425516106585, 'feature_2': 6.158597371733294, 'feature_3': 8.89991278329563, 'feature_4': 7.589428415816343}[0m
[32m2026-06-12 11:13:05.152[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.920200717528651, 1.5832425516106585, 6.158597371733294, 8.89991278329563, 7.589428415816343], Scaled: [-0.0090797 -1.11067649 0.43377137 1.38485531 0.92310259][0m
[32m2026-06-12 11:13:05.153[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00891482 0.99108518][0m
[32m2026-06-12 11:13:05.153[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.153[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.76 ms.[0m
[32m2026-06-12 11:13:05.153[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.11%)[0m
[32m2026-06-12 11:13:05.153[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.11%)[0m
[32m2026-06-12 11:13:05.180[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.506980697473591, 'feature_1': 9.74331778592241, 'feature_2': 8.407969092162565, 'feature_3': 6.228513397171733, 'feature_4': 7.944723417417631}[0m
[32m2026-06-12 11:13:05.180[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.506980697473591, 'feature_1': 9.74331778592241, 'feature_2': 8.407969092162565, 'feature_3': 6.228513397171733, 'feature_4': 7.944723417417631}[0m
[32m2026-06-12 11:13:05.181[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.506980697473591, 9.74331778592241, 8.407969092162565, 6.228513397171733, 7.944723417417631], Scaled: [-1.16270175 1.58271444 1.23445298 0.44828942 1.04700941][0m
[32m2026-06-12 11:13:05.181[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.58600847e-05 9.99974140e-01][0m
[32m2026-06-12 11:13:05.181[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.181[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:05.181[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.181[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.209[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.79585659838152, 'feature_1': 4.415324792600689, 'feature_2': 6.547930490408151, 'feature_3': 8.969095075472946, 'feature_4': 3.1957514817608166}[0m
[32m2026-06-12 11:13:05.210[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.79585659838152, 'feature_1': 4.415324792600689, 'feature_2': 6.547930490408151, 'feature_3': 8.969095075472946, 'feature_4': 3.1957514817608166}[0m
[32m2026-06-12 11:13:05.210[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.79585659838152, 4.415324792600689, 6.547930490408151, 8.969095075472946, 3.1957514817608166], Scaled: [ 0.96285297 -0.17589288 0.57235757 1.40910993 -0.60916361][0m
[32m2026-06-12 11:13:05.211[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [8.84143060e-04 9.99115857e-01][0m
[32m2026-06-12 11:13:05.211[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.211[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:05.211[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.91%)[0m
[32m2026-06-12 11:13:05.211[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.91%)[0m
[32m2026-06-12 11:13:05.239[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.357231724266212, 'feature_1': 9.566827584850564, 'feature_2': 4.188714515643866, 'feature_3': 6.650955542781664, 'feature_4': 4.732695214997632}[0m
[32m2026-06-12 11:13:05.240[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.357231724266212, 'feature_1': 9.566827584850564, 'feature_2': 4.188714515643866, 'feature_3': 6.650955542781664, 'feature_4': 4.732695214997632}[0m
[32m2026-06-12 11:13:05.240[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.357231724266212, 9.566827584850564, 4.188714515643866, 6.650955542781664, 4.732695214997632], Scaled: [ 0.81460372 1.52446043 -0.26742397 0.59639341 -0.0731645 ][0m
[32m2026-06-12 11:13:05.241[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.33782595e-04 9.99866217e-01][0m
[32m2026-06-12 11:13:05.241[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.241[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:05.241[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:05.241[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:05.316[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.800224937350272, 'feature_1': 9.23121754324244, 'feature_2': 4.706676306974352, 'feature_3': 9.53757002336118, 'feature_4': 6.8762723237408805}[0m
[32m2026-06-12 11:13:05.316[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.800224937350272, 'feature_1': 9.23121754324244, 'feature_2': 4.706676306974352, 'feature_3': 9.53757002336118, 'feature_4': 6.8762723237408805}[0m
[32m2026-06-12 11:13:05.317[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.800224937350272, 9.23121754324244, 4.706676306974352, 9.53757002336118, 6.8762723237408805], Scaled: [-0.72560274 1.41368583 -0.08305139 1.60841156 0.67439405][0m
[32m2026-06-12 11:13:05.317[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.29924060e-05 9.99937008e-01][0m
[32m2026-06-12 11:13:05.317[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.318[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:05.318[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:05.318[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:05.360[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.843165515186903, 'feature_1': 6.040580363346479, 'feature_2': 8.186417488435405, 'feature_3': 7.034973279564133, 'feature_4': 4.674235272715902}[0m
[32m2026-06-12 11:13:05.361[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.843165515186903, 'feature_1': 6.040580363346479, 'feature_2': 8.186417488435405, 'feature_3': 7.034973279564133, 'feature_4': 4.674235272715902}[0m
[32m2026-06-12 11:13:05.362[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.843165515186903, 6.040580363346479, 8.186417488435405, 7.034973279564133, 4.674235272715902], Scaled: [-0.37310298 0.36055421 1.15558994 0.73102619 -0.09355202][0m
[32m2026-06-12 11:13:05.363[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00324308 0.99675692][0m
[32m2026-06-12 11:13:05.363[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.363[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.28 ms.[0m
[32m2026-06-12 11:13:05.363[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.68%)[0m
[32m2026-06-12 11:13:05.363[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.68%)[0m
[32m2026-06-12 11:13:05.434[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.328155032572392, 'feature_1': 2.255302597525181, 'feature_2': 4.13985754676362, 'feature_3': 3.089353366632052, 'feature_4': 3.7228254486330803}[0m
[32m2026-06-12 11:13:05.434[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.328155032572392, 'feature_1': 2.255302597525181, 'feature_2': 4.13985754676362, 'feature_3': 3.089353366632052, 'feature_4': 3.7228254486330803}[0m
[32m2026-06-12 11:13:05.435[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.328155032572392, 2.255302597525181, 4.13985754676362, 3.089353366632052, 3.7228254486330803], Scaled: [ 0.80477619 -0.88885005 -0.28481499 -0.65226866 -0.42535 ][0m
[32m2026-06-12 11:13:05.436[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99588955 0.00411045][0m
[32m2026-06-12 11:13:05.436[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:05.436[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:05.436[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.59%)[0m
[32m2026-06-12 11:13:05.436[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.59%)[0m
[32m2026-06-12 11:13:05.504[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.164582263885832, 'feature_1': 9.381389340441796, 'feature_2': 7.871134463669483, 'feature_3': 3.8526372111673632, 'feature_4': 2.616630828795045}[0m
[32m2026-06-12 11:13:05.505[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.164582263885832, 'feature_1': 9.381389340441796, 'feature_2': 7.871134463669483, 'feature_3': 3.8526372111673632, 'feature_4': 2.616630828795045}[0m
[32m2026-06-12 11:13:05.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.164582263885832, 9.381389340441796, 7.871134463669483, 3.8526372111673632, 2.616630828795045], Scaled: [ 0.41150438 1.46325294 1.04336246 -0.38466899 -0.81112817][0m
[32m2026-06-12 11:13:05.506[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00252819 0.99747181][0m
[32m2026-06-12 11:13:05.506[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.506[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.80 ms.[0m
[32m2026-06-12 11:13:05.506[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.75%)[0m
[32m2026-06-12 11:13:05.507[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.75%)[0m
[32m2026-06-12 11:13:05.552[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.452250746492965, 'feature_1': 5.203757358194969, 'feature_2': 9.860294577779719, 'feature_3': 0.19631947718522946, 'feature_4': 6.011061516571591}[0m
[32m2026-06-12 11:13:05.553[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.452250746492965, 'feature_1': 5.203757358194969, 'feature_2': 9.860294577779719, 'feature_3': 0.19631947718522946, 'feature_4': 6.011061516571591}[0m
[32m2026-06-12 11:13:05.553[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.452250746492965, 5.203757358194969, 9.860294577779719, 0.19631947718522946, 6.011061516571591], Scaled: [ 0.50873243 0.08434457 1.7514197 -1.66653739 0.37265742][0m
[32m2026-06-12 11:13:05.554[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03813055 0.96186945][0m
[32m2026-06-12 11:13:05.554[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.554[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.00 ms.[0m
[32m2026-06-12 11:13:05.555[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.19%)[0m
[32m2026-06-12 11:13:05.555[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.19%)[0m
[32m2026-06-12 11:13:05.584[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.029772524458973, 'feature_1': 8.884336742498105, 'feature_2': 5.6411640358080835, 'feature_3': 8.751366236821239, 'feature_4': 1.402216642204468}[0m
[32m2026-06-12 11:13:05.584[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.029772524458973, 'feature_1': 8.884336742498105, 'feature_2': 5.6411640358080835, 'feature_3': 8.751366236821239, 'feature_4': 1.402216642204468}[0m
[32m2026-06-12 11:13:05.585[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.029772524458973, 8.884336742498105, 5.6411640358080835, 8.751366236821239, 1.402216642204468], Scaled: [ 1.37989981 1.2991911 0.2495869 1.33277638 -1.2346472 ][0m
[32m2026-06-12 11:13:05.586[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.78950750e-05 9.99972105e-01][0m
[32m2026-06-12 11:13:05.586[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.586[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.77 ms.[0m
[32m2026-06-12 11:13:05.586[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.586[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:05.628[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.101799237714297, 'feature_1': 3.4249533474786507, 'feature_2': 4.215431049203043, 'feature_3': 5.130518840933868, 'feature_4': 7.2013466632569365}[0m
[32m2026-06-12 11:13:05.628[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.101799237714297, 'feature_1': 3.4249533474786507, 'feature_2': 4.215431049203043, 'feature_3': 5.130518840933868, 'feature_4': 7.2013466632569365}[0m
[32m2026-06-12 11:13:05.629[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.101799237714297, 3.4249533474786507, 4.215431049203043, 5.130518840933868, 7.2013466632569365], Scaled: [ 0.39028457 -0.50278416 -0.25791401 0.06334352 0.78776161][0m
[32m2026-06-12 11:13:05.629[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.2616729 0.7383271][0m
[32m2026-06-12 11:13:05.630[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.630[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:05.630[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 73.83%)[0m
[32m2026-06-12 11:13:05.630[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 73.83%)[0m
[32m2026-06-12 11:13:05.704[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.91616167408613, 'feature_1': 0.9799332740965727, 'feature_2': 2.185253417608247, 'feature_3': 9.780397571876021, 'feature_4': 9.740913383960283}[0m
[32m2026-06-12 11:13:05.704[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.91616167408613, 'feature_1': 0.9799332740965727, 'feature_2': 2.185253417608247, 'feature_3': 9.780397571876021, 'feature_4': 9.740913383960283}[0m
[32m2026-06-12 11:13:05.704[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.91616167408613, 0.9799332740965727, 2.185253417608247, 9.780397571876021, 9.740913383960283], Scaled: [ 1.00351446 -1.3098104 -0.98057176 1.69354446 1.67341896][0m
[32m2026-06-12 11:13:05.705[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00197209 0.99802791][0m
[32m2026-06-12 11:13:05.705[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.705[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:05.705[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.80%)[0m
[32m2026-06-12 11:13:05.705[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.80%)[0m
[32m2026-06-12 11:13:05.769[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.94889501885334, 'feature_1': 1.610036885267263, 'feature_2': 1.4458048804841472, 'feature_3': 6.453037611980436, 'feature_4': 2.080366116484633}[0m
[32m2026-06-12 11:13:05.769[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.94889501885334, 'feature_1': 1.610036885267263, 'feature_2': 1.4458048804841472, 'feature_3': 6.453037611980436, 'feature_4': 2.080366116484633}[0m
[32m2026-06-12 11:13:05.770[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.94889501885334, 1.610036885267263, 1.4458048804841472, 6.453037611980436, 2.080366116484633], Scaled: [ 1.35256431 -1.1018325 -1.2437843 0.52700537 -0.99814699][0m
[32m2026-06-12 11:13:05.770[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99603909 0.00396091][0m
[32m2026-06-12 11:13:05.770[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:05.771[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.69 ms.[0m
[32m2026-06-12 11:13:05.771[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.60%)[0m
[32m2026-06-12 11:13:05.771[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.60%)[0m
[32m2026-06-12 11:13:05.809[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.307393837765666, 'feature_1': 3.9503048968644694, 'feature_2': 2.2911212853564056, 'feature_3': 3.2208622335623294, 'feature_4': 5.039029238629375}[0m
[32m2026-06-12 11:13:05.809[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.307393837765666, 'feature_1': 3.9503048968644694, 'feature_2': 2.2911212853564056, 'feature_3': 3.2208622335623294, 'feature_4': 5.039029238629375}[0m
[32m2026-06-12 11:13:05.810[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.307393837765666, 3.9503048968644694, 2.2911212853564056, 3.2208622335623294, 5.039029238629375], Scaled: [ 0.79775919 -0.3293817 -0.94288725 -0.60616297 0.0336675 ][0m
[32m2026-06-12 11:13:05.811[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98241639 0.01758361][0m
[32m2026-06-12 11:13:05.811[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:05.811[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.80 ms.[0m
[32m2026-06-12 11:13:05.811[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.24%)[0m
[32m2026-06-12 11:13:05.811[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.24%)[0m
[32m2026-06-12 11:13:05.870[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.843590249100838, 'feature_1': 7.3909010357466345, 'feature_2': 8.562138199038126, 'feature_3': 5.4229023481775265, 'feature_4': 2.5721552455170684}[0m
[32m2026-06-12 11:13:05.870[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.843590249100838, 'feature_1': 7.3909010357466345, 'feature_2': 8.562138199038126, 'feature_3': 5.4229023481775265, 'feature_4': 2.5721552455170684}[0m
[32m2026-06-12 11:13:05.871[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.843590249100838, 7.3909010357466345, 8.562138199038126, 5.4229023481775265, 2.5721552455170684], Scaled: [ 0.30301344 0.80625371 1.28933069 0.16585025 -0.82663874][0m
[32m2026-06-12 11:13:05.872[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00290212 0.99709788][0m
[32m2026-06-12 11:13:05.872[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.872[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.78 ms.[0m
[32m2026-06-12 11:13:05.872[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.71%)[0m
[32m2026-06-12 11:13:05.872[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.71%)[0m
[32m2026-06-12 11:13:05.915[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.1015854344500804, 'feature_1': 4.684096657173754, 'feature_2': 8.482307690895494, 'feature_3': 7.861969028331998, 'feature_4': 3.9917701254466187}[0m
[32m2026-06-12 11:13:05.915[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.1015854344500804, 'feature_1': 4.684096657173754, 'feature_2': 8.482307690895494, 'feature_3': 7.861969028331998, 'feature_4': 3.9917701254466187}[0m
[32m2026-06-12 11:13:05.916[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.1015854344500804, 4.684096657173754, 8.482307690895494, 7.861969028331998, 3.9917701254466187], Scaled: [-0.62374699 -0.08717952 1.2609144 1.02096262 -0.3315573 ][0m
[32m2026-06-12 11:13:05.916[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02284345 0.97715655][0m
[32m2026-06-12 11:13:05.916[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.916[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.67 ms.[0m
[32m2026-06-12 11:13:05.916[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.72%)[0m
[32m2026-06-12 11:13:05.916[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.72%)[0m
[32m2026-06-12 11:13:05.948[0m | [1mINFO [0m | [36m__main__[0m:[36m<cell line: 0>[0m:[36m26[0m - [1mProcessed 400 data points.[0m
[32m2026-06-12 11:13:05.948[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.119830137159717, 'feature_1': 9.89406713164196, 'feature_2': 4.637775395922947, 'feature_3': 1.2520365447823678, 'feature_4': 4.592939407737697}[0m
[32m2026-06-12 11:13:05.949[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.119830137159717, 'feature_1': 9.89406713164196, 'feature_2': 4.637775395922947, 'feature_3': 1.2520365447823678, 'feature_4': 4.592939407737697}[0m
[32m2026-06-12 11:13:05.949[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.119830137159717, 9.89406713164196, 4.637775395922947, 1.2520365447823678, 4.592939407737697], Scaled: [ 0.39637877 1.63247218 -0.10757721 -1.29641355 -0.12190343][0m
[32m2026-06-12 11:13:05.950[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.14234527 0.85765473][0m
[32m2026-06-12 11:13:05.950[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:05.950[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.68 ms.[0m
[32m2026-06-12 11:13:05.950[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 85.77%)[0m
[32m2026-06-12 11:13:05.950[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 85.77%)[0m
[32m2026-06-12 11:13:06.014[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.09816238297176594, 'feature_1': 7.477494037514432, 'feature_2': 9.75414135226216, 'feature_3': 0.1551663227529565, 'feature_4': 4.498361887529523}[0m
[32m2026-06-12 11:13:06.015[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.09816238297176594, 'feature_1': 7.477494037514432, 'feature_2': 9.75414135226216, 'feature_3': 0.1551663227529565, 'feature_4': 4.498361887529523}[0m
[32m2026-06-12 11:13:06.015[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.09816238297176594, 7.477494037514432, 9.75414135226216, 0.1551663227529565, 4.498361887529523], Scaled: [-1.63886323 0.83483541 1.71363362 -1.68096527 -0.15488672][0m
[32m2026-06-12 11:13:06.017[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.96953511 0.03046489][0m
[32m2026-06-12 11:13:06.017[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.017[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.38 ms.[0m
[32m2026-06-12 11:13:06.017[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 96.95%)[0m
[32m2026-06-12 11:13:06.017[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 96.95%)[0m
[32m2026-06-12 11:13:06.048[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.33343475480936, 'feature_1': 8.533108644982116, 'feature_2': 7.844682015599245, 'feature_3': 1.3929119878335283, 'feature_4': 3.294331400907021}[0m
[32m2026-06-12 11:13:06.048[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.33343475480936, 'feature_1': 8.533108644982116, 'feature_2': 7.844682015599245, 'feature_3': 1.3929119878335283, 'feature_4': 3.294331400907021}[0m
[32m2026-06-12 11:13:06.049[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.33343475480936, 8.533108644982116, 7.844682015599245, 1.3929119878335283, 3.294331400907021], Scaled: [ 0.80656066 1.18326146 1.03394651 -1.24702403 -0.57478451][0m
[32m2026-06-12 11:13:06.050[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01555402 0.98444598][0m
[32m2026-06-12 11:13:06.050[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.050[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:06.050[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.44%)[0m
[32m2026-06-12 11:13:06.050[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.44%)[0m
[32m2026-06-12 11:13:06.077[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.130764125764678, 'feature_1': 0.08088572053539189, 'feature_2': 5.853695724601221, 'feature_3': 2.4936360998286125, 'feature_4': 4.12748719204293}[0m
[32m2026-06-12 11:13:06.078[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.130764125764678, 'feature_1': 0.08088572053539189, 'feature_2': 5.853695724601221, 'feature_3': 2.4936360998286125, 'feature_4': 4.12748719204293}[0m
[32m2026-06-12 11:13:06.078[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.130764125764678, 0.08088572053539189, 5.853695724601221, 2.4936360998286125, 4.12748719204293], Scaled: [-0.61388498 -1.60655847 0.32523923 -0.86112117 -0.28422685][0m
[32m2026-06-12 11:13:06.079[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99987127e-01 1.28733648e-05][0m
[32m2026-06-12 11:13:06.079[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.079[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:13:06.079[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.079[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.129[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.061180117486412, 'feature_1': 9.68373499047373, 'feature_2': 0.186427138102645, 'feature_3': 9.403396531811069, 'feature_4': 0.015156141664397493}[0m
[32m2026-06-12 11:13:06.129[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.061180117486412, 'feature_1': 9.68373499047373, 'feature_2': 0.186427138102645, 'feature_3': 9.403396531811069, 'feature_4': 0.015156141664397493}[0m
[32m2026-06-12 11:13:06.130[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.061180117486412, 9.68373499047373, 0.186427138102645, 9.403396531811069, 0.015156141664397493], Scaled: [ 0.37655586 1.56304798 -1.69206974 1.56137167 -1.71837552][0m
[32m2026-06-12 11:13:06.130[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.38445921 0.61554079][0m
[32m2026-06-12 11:13:06.130[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.131[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.78 ms.[0m
[32m2026-06-12 11:13:06.131[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 61.55%)[0m
[32m2026-06-12 11:13:06.131[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 61.55%)[0m
[32m2026-06-12 11:13:06.174[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.829832602959725, 'feature_1': 1.125874693467983, 'feature_2': 3.0764093680801197, 'feature_3': 9.976210330817615, 'feature_4': 7.185311466009255}[0m
[32m2026-06-12 11:13:06.174[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.829832602959725, 'feature_1': 1.125874693467983, 'feature_2': 3.0764093680801197, 'feature_3': 9.976210330817615, 'feature_4': 7.185311466009255}[0m
[32m2026-06-12 11:13:06.175[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.829832602959725, 1.125874693467983, 3.0764093680801197, 9.976210330817615, 7.185311466009255], Scaled: [ 0.9743364 -1.26163961 -0.66335776 1.76219446 0.78216944][0m
[32m2026-06-12 11:13:06.175[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00936643 0.99063357][0m
[32m2026-06-12 11:13:06.175[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.176[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:06.176[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.06%)[0m
[32m2026-06-12 11:13:06.176[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.06%)[0m
[32m2026-06-12 11:13:06.235[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.463115082210939, 'feature_1': 2.0592072667960695, 'feature_2': 4.614994873495053, 'feature_3': 2.692020523585593, 'feature_4': 7.072170375585931}[0m
[32m2026-06-12 11:13:06.236[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.463115082210939, 'feature_1': 2.0592072667960695, 'feature_2': 4.614994873495053, 'feature_3': 2.692020523585593, 'feature_4': 7.072170375585931}[0m
[32m2026-06-12 11:13:06.237[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.463115082210939, 2.0592072667960695, 4.614994873495053, 2.692020523585593, 7.072170375585931], Scaled: [ 0.17441799 -0.95357511 -0.11568611 -0.79156958 0.74271222][0m
[32m2026-06-12 11:13:06.238[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.98116371 0.01883629][0m
[32m2026-06-12 11:13:06.238[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.238[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.31 ms.[0m
[32m2026-06-12 11:13:06.238[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.12%)[0m
[32m2026-06-12 11:13:06.238[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.12%)[0m
[32m2026-06-12 11:13:06.273[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.238870291033534, 'feature_1': 7.607131367309744, 'feature_2': 3.836733341272638, 'feature_3': 4.765000472666328, 'feature_4': 8.200350264584811}[0m
[32m2026-06-12 11:13:06.273[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.238870291033534, 'feature_1': 7.607131367309744, 'feature_2': 3.836733341272638, 'feature_3': 4.765000472666328, 'feature_4': 8.200350264584811}[0m
[32m2026-06-12 11:13:06.273[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.238870291033534, 7.607131367309744, 3.836733341272638, 4.765000472666328, 8.200350264584811], Scaled: [ 0.77459916 0.87762472 -0.39271445 -0.06480356 1.13615761][0m
[32m2026-06-12 11:13:06.274[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.38315743e-04 9.99561684e-01][0m
[32m2026-06-12 11:13:06.275[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.275[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.04 ms.[0m
[32m2026-06-12 11:13:06.275[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:06.275[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:06.345[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.298682574061037, 'feature_1': 5.128135806218495, 'feature_2': 5.7608472169001885, 'feature_3': 2.8295381622885984, 'feature_4': 9.12305041354458}[0m
[32m2026-06-12 11:13:06.345[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.298682574061037, 'feature_1': 5.128135806218495, 'feature_2': 5.7608472169001885, 'feature_3': 2.8295381622885984, 'feature_4': 9.12305041354458}[0m
[32m2026-06-12 11:13:06.346[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.298682574061037, 5.128135806218495, 5.7608472169001885, 2.8295381622885984, 9.12305041354458], Scaled: [ 0.45682847 0.05938421 0.29218907 -0.74335727 1.45794327][0m
[32m2026-06-12 11:13:06.347[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00895917 0.99104083][0m
[32m2026-06-12 11:13:06.347[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.347[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.84 ms.[0m
[32m2026-06-12 11:13:06.347[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.10%)[0m
[32m2026-06-12 11:13:06.347[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.10%)[0m
[32m2026-06-12 11:13:06.380[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.598112371791329, 'feature_1': 5.616281308568537, 'feature_2': 9.133136081128441, 'feature_3': 4.309460927199385, 'feature_4': 7.993696784214876}[0m
[32m2026-06-12 11:13:06.380[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.598112371791329, 'feature_1': 5.616281308568537, 'feature_2': 9.133136081128441, 'feature_3': 4.309460927199385, 'feature_4': 7.993696784214876}[0m
[32m2026-06-12 11:13:06.381[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.598112371791329, 5.616281308568537, 9.133136081128441, 4.309460927199385, 7.993696784214876], Scaled: [ 0.22004524 0.22050609 1.4925819 -0.22451116 1.06408855][0m
[32m2026-06-12 11:13:06.381[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.19002870e-04 9.99880997e-01][0m
[32m2026-06-12 11:13:06.381[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.382[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.69 ms.[0m
[32m2026-06-12 11:13:06.382[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:06.382[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:06.419[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.212494529901317, 'feature_1': 7.780486879208521, 'feature_2': 9.817949186409853, 'feature_3': 2.509081231776463, 'feature_4': 8.232726769114556}[0m
[32m2026-06-12 11:13:06.420[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.212494529901317, 'feature_1': 7.780486879208521, 'feature_2': 9.817949186409853, 'feature_3': 2.509081231776463, 'feature_4': 8.232726769114556}[0m
[32m2026-06-12 11:13:06.420[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.212494529901317, 7.780486879208521, 9.817949186409853, 2.509081231776463, 8.232726769114556], Scaled: [ 1.44165737 0.93484407 1.73634652 -0.85570627 1.1474487 ][0m
[32m2026-06-12 11:13:06.421[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [3.33825876e-07 9.99999666e-01][0m
[32m2026-06-12 11:13:06.421[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.421[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.76 ms.[0m
[32m2026-06-12 11:13:06.421[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.421[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.469[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.9365738022694052, 'feature_1': 4.112474802682352, 'feature_2': 9.360304511037624, 'feature_3': 0.5502930311547549, 'feature_4': 6.922264880297979}[0m
[32m2026-06-12 11:13:06.469[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.9365738022694052, 'feature_1': 4.112474802682352, 'feature_2': 9.360304511037624, 'feature_3': 0.5502930311547549, 'feature_4': 6.922264880297979}[0m
[32m2026-06-12 11:13:06.470[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.9365738022694052, 4.112474802682352, 9.360304511037624, 0.5502930311547549, 6.922264880297979], Scaled: [-0.34153225 -0.27585438 1.57344429 -1.5424378 0.69043366][0m
[32m2026-06-12 11:13:06.471[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.55237119 0.44762881][0m
[32m2026-06-12 11:13:06.471[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.471[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.85 ms.[0m
[32m2026-06-12 11:13:06.471[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 55.24%)[0m
[32m2026-06-12 11:13:06.471[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 55.24%)[0m
[32m2026-06-12 11:13:06.505[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.105334522038836, 'feature_1': 8.279981529335714, 'feature_2': 8.372882523809968, 'feature_3': 6.204561896944831, 'feature_4': 8.944289336084557}[0m
[32m2026-06-12 11:13:06.506[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.105334522038836, 'feature_1': 8.279981529335714, 'feature_2': 8.372882523809968, 'feature_3': 6.204561896944831, 'feature_4': 8.944289336084557}[0m
[32m2026-06-12 11:13:06.506[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.105334522038836, 8.279981529335714, 8.372882523809968, 6.204561896944831, 8.944289336084557], Scaled: [0.05349302 1.09971195 1.22196364 0.43989227 1.39560151][0m
[32m2026-06-12 11:13:06.507[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [7.3039680e-07 9.9999927e-01][0m
[32m2026-06-12 11:13:06.507[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.507[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:06.507[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.507[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.534[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.59585977238772, 'feature_1': 9.561772494767975, 'feature_2': 9.907102111133891, 'feature_3': 4.801274257037012, 'feature_4': 6.443775203046033}[0m
[32m2026-06-12 11:13:06.534[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.59585977238772, 'feature_1': 9.561772494767975, 'feature_2': 9.907102111133891, 'feature_3': 4.801274257037012, 'feature_4': 6.443775203046033}[0m
[32m2026-06-12 11:13:06.535[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.59585977238772, 9.561772494767975, 9.907102111133891, 4.801274257037012, 6.443775203046033], Scaled: [ 1.57122962 1.5227919 1.76808121 -0.05208633 0.5235635 ][0m
[32m2026-06-12 11:13:06.536[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.12233015e-08 9.99999989e-01][0m
[32m2026-06-12 11:13:06.536[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.536[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.84 ms.[0m
[32m2026-06-12 11:13:06.536[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.536[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.585[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.882791536635135, 'feature_1': 0.5474853057035511, 'feature_2': 0.46066636538178884, 'feature_3': 4.936265140692303, 'feature_4': 0.15091873616250084}[0m
[32m2026-06-12 11:13:06.585[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.882791536635135, 'feature_1': 0.5474853057035511, 'feature_2': 0.46066636538178884, 'feature_3': 4.936265140692303, 'feature_4': 0.15091873616250084}[0m
[32m2026-06-12 11:13:06.586[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.882791536635135, 0.5474853057035511, 0.46066636538178884, 4.936265140692303, 0.15091873616250084], Scaled: [-0.35970992 -1.45254823 -1.59445212 -0.00475988 -1.6710292 ][0m
[32m2026-06-12 11:13:06.587[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99999986e-01 1.42893556e-08][0m
[32m2026-06-12 11:13:06.587[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.587[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.76 ms.[0m
[32m2026-06-12 11:13:06.587[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.587[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.625[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.17425242956823, 'feature_1': 0.30283207226811104, 'feature_2': 3.4299041154728336, 'feature_3': 5.027339356181692, 'feature_4': 6.615307452676391}[0m
[32m2026-06-12 11:13:06.625[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.17425242956823, 'feature_1': 0.30283207226811104, 'feature_2': 3.4299041154728336, 'feature_3': 5.027339356181692, 'feature_4': 6.615307452676391}[0m
[32m2026-06-12 11:13:06.626[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.17425242956823, 0.30283207226811104, 3.4299041154728336, 5.027339356181692, 6.615307452676391], Scaled: [ 0.07678634 -1.53330077 -0.53752852 0.02716983 0.58338425][0m
[32m2026-06-12 11:13:06.627[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99638402 0.00361598][0m
[32m2026-06-12 11:13:06.627[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.627[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.90 ms.[0m
[32m2026-06-12 11:13:06.627[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.64%)[0m
[32m2026-06-12 11:13:06.627[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.64%)[0m
[32m2026-06-12 11:13:06.668[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.018867142521459, 'feature_1': 1.674973947721905, 'feature_2': 8.942311490709047, 'feature_3': 2.448172324990522, 'feature_4': 9.303945811242546}[0m
[32m2026-06-12 11:13:06.668[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.018867142521459, 'feature_1': 1.674973947721905, 'feature_2': 8.942311490709047, 'feature_3': 2.448172324990522, 'feature_4': 9.303945811242546}[0m
[32m2026-06-12 11:13:06.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.018867142521459, 1.674973947721905, 8.942311490709047, 2.448172324990522, 9.303945811242546], Scaled: [ 0.70024108 -1.08039876 1.42465638 -0.87706032 1.52102936][0m
[32m2026-06-12 11:13:06.670[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00677643 0.99322357][0m
[32m2026-06-12 11:13:06.670[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.670[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:06.670[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.32%)[0m
[32m2026-06-12 11:13:06.670[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.32%)[0m
[32m2026-06-12 11:13:06.712[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.764884831434427, 'feature_1': 2.782502052259063, 'feature_2': 0.6197913755144702, 'feature_3': 7.371232732311524, 'feature_4': 5.034848466029626}[0m
[32m2026-06-12 11:13:06.712[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.764884831434427, 'feature_1': 2.782502052259063, 'feature_2': 0.6197913755144702, 'feature_3': 7.371232732311524, 'feature_4': 5.034848466029626}[0m
[32m2026-06-12 11:13:06.713[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.764884831434427, 2.782502052259063, 0.6197913755144702, 7.371232732311524, 5.034848466029626], Scaled: [ 0.95238494 -0.71483766 -1.53781032 0.84891538 0.03220948][0m
[32m2026-06-12 11:13:06.713[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.87989716 0.12010284][0m
[32m2026-06-12 11:13:06.713[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.713[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.83 ms.[0m
[32m2026-06-12 11:13:06.714[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 87.99%)[0m
[32m2026-06-12 11:13:06.714[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 87.99%)[0m
[32m2026-06-12 11:13:06.749[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.95316199149918, 'feature_1': 2.769382289249158, 'feature_2': 6.83205432245495, 'feature_3': 2.6394462808637043, 'feature_4': 0.6550051129260204}[0m
[32m2026-06-12 11:13:06.750[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.95316199149918, 'feature_1': 2.769382289249158, 'feature_2': 6.83205432245495, 'feature_3': 2.6394462808637043, 'feature_4': 0.6550051129260204}[0m
[32m2026-06-12 11:13:06.750[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.95316199149918, 2.769382289249158, 6.83205432245495, 2.6394462808637043, 0.6550051129260204], Scaled: [ 0.67803363 -0.71916809 0.67349369 -0.81000158 -1.49523236][0m
[32m2026-06-12 11:13:06.751[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99780431 0.00219569][0m
[32m2026-06-12 11:13:06.751[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.751[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:06.751[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:13:06.751[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:13:06.778[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.435676241960316, 'feature_1': 6.146160541426999, 'feature_2': 1.0170204934399696, 'feature_3': 9.889873640018177, 'feature_4': 3.7403800335852546}[0m
[32m2026-06-12 11:13:06.778[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.435676241960316, 'feature_1': 6.146160541426999, 'feature_2': 1.0170204934399696, 'feature_3': 9.889873640018177, 'feature_4': 3.7403800335852546}[0m
[32m2026-06-12 11:13:06.779[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.435676241960316, 6.146160541426999, 1.0170204934399696, 9.889873640018177, 3.7403800335852546], Scaled: [-0.17284239 0.395403 -1.39641348 1.73192568 -0.41922795][0m
[32m2026-06-12 11:13:06.779[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.46293447 0.53706553][0m
[32m2026-06-12 11:13:06.779[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:06.779[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:06.779[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 53.71%)[0m
[32m2026-06-12 11:13:06.779[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 53.71%)[0m
[32m2026-06-12 11:13:06.836[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.9074789186838874, 'feature_1': 4.591937255887261, 'feature_2': 8.565844539291088, 'feature_3': 2.001816469789761, 'feature_4': 3.9300882255576175}[0m
[32m2026-06-12 11:13:06.836[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.9074789186838874, 'feature_1': 4.591937255887261, 'feature_2': 8.565844539291088, 'feature_3': 2.001816469789761, 'feature_4': 3.9300882255576175}[0m
[32m2026-06-12 11:13:06.837[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.9074789186838874, 4.591937255887261, 8.565844539291088, 2.001816469789761, 3.9300882255576175], Scaled: [-0.35136592 -0.11759851 1.29065 -1.03354821 -0.35306846][0m
[32m2026-06-12 11:13:06.837[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.91397226 0.08602774][0m
[32m2026-06-12 11:13:06.838[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.838[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.76 ms.[0m
[32m2026-06-12 11:13:06.838[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 91.40%)[0m
[32m2026-06-12 11:13:06.838[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 91.40%)[0m
[32m2026-06-12 11:13:06.864[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.0462262034303755, 'feature_1': 3.3578204585138858, 'feature_2': 4.5126642686485265, 'feature_3': 6.212180929517508, 'feature_4': 4.249791991247253}[0m
[32m2026-06-12 11:13:06.864[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.0462262034303755, 'feature_1': 3.3578204585138858, 'feature_2': 4.5126642686485265, 'feature_3': 6.212180929517508, 'feature_4': 4.249791991247253}[0m
[32m2026-06-12 11:13:06.865[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.0462262034303755, 3.3578204585138858, 4.5126642686485265, 6.212180929517508, 4.249791991247253], Scaled: [-0.30447122 -0.52494267 -0.1521115 0.44256342 -0.24157385][0m
[32m2026-06-12 11:13:06.866[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.96247809 0.03752191][0m
[32m2026-06-12 11:13:06.866[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.866[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:06.866[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 96.25%)[0m
[32m2026-06-12 11:13:06.866[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 96.25%)[0m
[32m2026-06-12 11:13:06.900[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.6727255461827957, 'feature_1': 5.095070992612454, 'feature_2': 2.0258307728041003, 'feature_3': 1.4602726779362474, 'feature_4': 4.567524007899205}[0m
[32m2026-06-12 11:13:06.900[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.6727255461827957, 'feature_1': 5.095070992612454, 'feature_2': 2.0258307728041003, 'feature_3': 1.4602726779362474, 'feature_4': 4.567524007899205}[0m
[32m2026-06-12 11:13:06.901[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.6727255461827957, 5.095070992612454, 2.0258307728041003, 1.4602726779362474, 4.567524007899205], Scaled: [-0.43070938 0.04847053 -1.0373195 -1.22340805 -0.13076688][0m
[32m2026-06-12 11:13:06.902[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99950025e-01 4.99745750e-05][0m
[32m2026-06-12 11:13:06.902[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.902[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:06.902[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.902[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:06.973[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.9105285528697669, 'feature_1': 4.798851471359294, 'feature_2': 3.74474074955177, 'feature_3': 5.470313042960173, 'feature_4': 6.714967986814628}[0m
[32m2026-06-12 11:13:06.974[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.9105285528697669, 'feature_1': 4.798851471359294, 'feature_2': 3.74474074955177, 'feature_3': 5.470313042960173, 'feature_4': 6.714967986814628}[0m
[32m2026-06-12 11:13:06.974[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.9105285528697669, 4.798851471359294, 3.74474074955177, 5.470313042960173, 6.714967986814628], Scaled: [-1.02630805 -0.04930247 -0.42545994 0.18247197 0.61814022][0m
[32m2026-06-12 11:13:06.975[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.95191223 0.04808777][0m
[32m2026-06-12 11:13:06.975[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:06.975[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:06.975[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 95.19%)[0m
[32m2026-06-12 11:13:06.975[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 95.19%)[0m
[32m2026-06-12 11:13:07.042[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.614950903818336, 'feature_1': 6.503845162570156, 'feature_2': 1.184598732999208, 'feature_3': 4.0670852510721005, 'feature_4': 4.169901318485207}[0m
[32m2026-06-12 11:13:07.042[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.614950903818336, 'feature_1': 6.503845162570156, 'feature_2': 1.184598732999208, 'feature_3': 4.0670852510721005, 'feature_4': 4.169901318485207}[0m
[32m2026-06-12 11:13:07.043[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.614950903818336, 6.503845162570156, 1.184598732999208, 4.0670852510721005, 4.169901318485207], Scaled: [ 0.9017093 0.51346373 -1.33676269 -0.30948565 -0.2694352 ][0m
[32m2026-06-12 11:13:07.044[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.86953959 0.13046041][0m
[32m2026-06-12 11:13:07.044[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.044[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:07.044[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 86.95%)[0m
[32m2026-06-12 11:13:07.044[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 86.95%)[0m
[32m2026-06-12 11:13:07.100[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.463175707956095, 'feature_1': 0.356117897783208, 'feature_2': 4.09231837899748, 'feature_3': 0.447899808505805, 'feature_4': 2.0303434825215527}[0m
[32m2026-06-12 11:13:07.100[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.463175707956095, 'feature_1': 0.356117897783208, 'feature_2': 4.09231837899748, 'feature_3': 0.447899808505805, 'feature_4': 2.0303434825215527}[0m
[32m2026-06-12 11:13:07.101[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.463175707956095, 0.356117897783208, 4.09231837899748, 0.447899808505805, 2.0303434825215527], Scaled: [ 1.52638421 -1.51571276 -0.30173694 -1.57833584 -1.01559206][0m
[32m2026-06-12 11:13:07.101[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99970834e-01 2.91655109e-05][0m
[32m2026-06-12 11:13:07.101[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.102[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:07.102[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.102[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.136[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.434270532567091, 'feature_1': 5.763181315900615, 'feature_2': 4.488053796928877, 'feature_3': 2.351148380328377, 'feature_4': 4.514373123170756}[0m
[32m2026-06-12 11:13:07.136[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.434270532567091, 'feature_1': 5.763181315900615, 'feature_2': 4.488053796928877, 'feature_3': 2.351148380328377, 'feature_4': 4.514373123170756}[0m
[32m2026-06-12 11:13:07.137[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.434270532567091, 5.763181315900615, 4.488053796928877, 2.351148380328377, 4.514373123170756], Scaled: [ 0.50265536 0.26899328 -0.16087179 -0.91107594 -0.14930291][0m
[32m2026-06-12 11:13:07.138[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.86057517 0.13942483][0m
[32m2026-06-12 11:13:07.138[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.138[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.04 ms.[0m
[32m2026-06-12 11:13:07.138[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 86.06%)[0m
[32m2026-06-12 11:13:07.138[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 86.06%)[0m
[32m2026-06-12 11:13:07.172[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.8898090880844274, 'feature_1': 5.322847064650914, 'feature_2': 0.8790997641772735, 'feature_3': 8.421110956745782, 'feature_4': 2.085915431586387}[0m
[32m2026-06-12 11:13:07.172[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.8898090880844274, 'feature_1': 5.322847064650914, 'feature_2': 0.8790997641772735, 'feature_3': 8.421110956745782, 'feature_4': 2.085915431586387}[0m
[32m2026-06-12 11:13:07.173[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.8898090880844274, 5.322847064650914, 0.8790997641772735, 8.421110956745782, 2.085915431586387], Scaled: [-0.35733809 0.12365243 -1.44550745 1.21699218 -0.99621171][0m
[32m2026-06-12 11:13:07.174[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99520943 0.00479057][0m
[32m2026-06-12 11:13:07.174[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.174[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.01 ms.[0m
[32m2026-06-12 11:13:07.174[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.52%)[0m
[32m2026-06-12 11:13:07.174[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.52%)[0m
[32m2026-06-12 11:13:07.206[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.115803821265072, 'feature_1': 2.618186913069004, 'feature_2': 9.147104034002195, 'feature_3': 2.3728852408274403, 'feature_4': 9.209783834443966}[0m
[32m2026-06-12 11:13:07.206[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.115803821265072, 'feature_1': 2.618186913069004, 'feature_2': 9.147104034002195, 'feature_3': 2.3728852408274403, 'feature_4': 9.209783834443966}[0m
[32m2026-06-12 11:13:07.207[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.115803821265072, 2.618186913069004, 9.147104034002195, 2.3728852408274403, 9.209783834443966], Scaled: [ 0.39501793 -0.76907305 1.4975539 -0.90345522 1.48819099][0m
[32m2026-06-12 11:13:07.208[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00596178 0.99403822][0m
[32m2026-06-12 11:13:07.208[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.208[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:07.208[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.40%)[0m
[32m2026-06-12 11:13:07.208[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.40%)[0m
[32m2026-06-12 11:13:07.264[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.037613835747136, 'feature_1': 8.505828676268482, 'feature_2': 8.564626214316895, 'feature_3': 6.581737475776701, 'feature_4': 4.999170463672934}[0m
[32m2026-06-12 11:13:07.264[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.037613835747136, 'feature_1': 8.505828676268482, 'feature_2': 8.564626214316895, 'feature_3': 6.581737475776701, 'feature_4': 4.999170463672934}[0m
[32m2026-06-12 11:13:07.265[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.037613835747136, 8.505828676268482, 8.564626214316895, 6.581737475776701, 4.999170463672934], Scaled: [1.04456364 1.17425718 1.29021632 0.57212625 0.01976701][0m
[32m2026-06-12 11:13:07.266[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [8.39220256e-07 9.99999161e-01][0m
[32m2026-06-12 11:13:07.266[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.266[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:07.266[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.266[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.296[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.5675847891596426, 'feature_1': 8.876156650790204, 'feature_2': 0.41755766329912625, 'feature_3': 9.129419023962942, 'feature_4': 7.317273662118277}[0m
[32m2026-06-12 11:13:07.296[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.5675847891596426, 'feature_1': 8.876156650790204, 'feature_2': 0.41755766329912625, 'feature_3': 9.129419023962942, 'feature_4': 7.317273662118277}[0m
[32m2026-06-12 11:13:07.297[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.5675847891596426, 8.876156650790204, 0.41755766329912625, 9.129419023962942, 7.317273662118277], Scaled: [-0.46624553 1.2964911 -1.60979701 1.4653179 0.8281904 ][0m
[32m2026-06-12 11:13:07.298[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00704909 0.99295091][0m
[32m2026-06-12 11:13:07.298[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.299[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.04 ms.[0m
[32m2026-06-12 11:13:07.299[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.30%)[0m
[32m2026-06-12 11:13:07.299[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.30%)[0m
[32m2026-06-12 11:13:07.342[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.889952803422823, 'feature_1': 5.557555684684688, 'feature_2': 7.029512035456608, 'feature_3': 7.596962471169121, 'feature_4': 9.929960880469636}[0m
[32m2026-06-12 11:13:07.342[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.889952803422823, 'feature_1': 5.557555684684688, 'feature_2': 7.029512035456608, 'feature_3': 7.596962471169121, 'feature_4': 9.929960880469636}[0m
[32m2026-06-12 11:13:07.343[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.889952803422823, 5.557555684684688, 7.029512035456608, 7.596962471169121, 9.929960880469636], Scaled: [0.65666978 0.20112256 0.74378032 0.92805397 1.73934804][0m
[32m2026-06-12 11:13:07.344[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [7.54835950e-07 9.99999245e-01][0m
[32m2026-06-12 11:13:07.344[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.344[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.80 ms.[0m
[32m2026-06-12 11:13:07.344[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.344[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.400[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.2378516319279047, 'feature_1': 5.629375767918786, 'feature_2': 2.135504269605739, 'feature_3': 7.8972119825610365, 'feature_4': 8.634683820072123}[0m
[32m2026-06-12 11:13:07.400[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.2378516319279047, 'feature_1': 5.629375767918786, 'feature_2': 2.135504269605739, 'feature_3': 7.8972119825610365, 'feature_4': 8.634683820072123}[0m
[32m2026-06-12 11:13:07.401[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.2378516319279047, 5.629375767918786, 2.135504269605739, 7.8972119825610365, 8.634683820072123], Scaled: [-0.57769086 0.22482817 -0.99828036 1.03331844 1.28762861][0m
[32m2026-06-12 11:13:07.401[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.05977998 0.94022002][0m
[32m2026-06-12 11:13:07.401[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.402[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.84 ms.[0m
[32m2026-06-12 11:13:07.402[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 94.02%)[0m
[32m2026-06-12 11:13:07.402[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 94.02%)[0m
[32m2026-06-12 11:13:07.465[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.2605253203649724, 'feature_1': 8.641238752995527, 'feature_2': 3.157543560437406, 'feature_3': 2.931406061643327, 'feature_4': 7.708804886525464}[0m
[32m2026-06-12 11:13:07.466[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.2605253203649724, 'feature_1': 8.641238752995527, 'feature_2': 3.157543560437406, 'feature_3': 2.931406061643327, 'feature_4': 7.708804886525464}[0m
[32m2026-06-12 11:13:07.466[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.2605253203649724, 8.641238752995527, 3.157543560437406, 2.931406061643327, 7.708804886525464], Scaled: [-1.24600032 1.2189519 -0.63447741 -0.70764341 0.96473436][0m
[32m2026-06-12 11:13:07.467[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.84200191 0.15799809][0m
[32m2026-06-12 11:13:07.467[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.467[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:07.467[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 84.20%)[0m
[32m2026-06-12 11:13:07.468[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 84.20%)[0m
[32m2026-06-12 11:13:07.495[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.0555897643762957, 'feature_1': 0.7985772365528065, 'feature_2': 8.695781894903378, 'feature_3': 4.51127739605195, 'feature_4': 8.369397161645}[0m
[32m2026-06-12 11:13:07.495[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.0555897643762957, 'feature_1': 0.7985772365528065, 'feature_2': 8.695781894903378, 'feature_3': 4.51127739605195, 'feature_4': 8.369397161645}[0m
[32m2026-06-12 11:13:07.496[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.0555897643762957, 0.7985772365528065, 8.695781894903378, 4.51127739605195, 8.369397161645], Scaled: [-1.31526576 -1.36967048 1.33690222 -0.15375633 1.19511161][0m
[32m2026-06-12 11:13:07.496[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.88711391 0.11288609][0m
[32m2026-06-12 11:13:07.496[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.496[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.76 ms.[0m
[32m2026-06-12 11:13:07.496[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 88.71%)[0m
[32m2026-06-12 11:13:07.496[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 88.71%)[0m
[32m2026-06-12 11:13:07.538[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.25448742663599, 'feature_1': 9.761586207521972, 'feature_2': 9.780154006542432, 'feature_3': 6.496942665870278, 'feature_4': 4.326507639256597}[0m
[32m2026-06-12 11:13:07.538[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.25448742663599, 'feature_1': 9.761586207521972, 'feature_2': 9.780154006542432, 'feature_3': 6.496942665870278, 'feature_4': 4.326507639256597}[0m
[32m2026-06-12 11:13:07.539[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.25448742663599, 9.761586207521972, 9.780154006542432, 6.496942665870278, 4.326507639256597], Scaled: [ 0.77987754 1.58874428 1.72289303 0.54239804 -0.21481977][0m
[32m2026-06-12 11:13:07.539[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [2.52485503e-07 9.99999748e-01][0m
[32m2026-06-12 11:13:07.539[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.540[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:07.540[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.540[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.569[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.6065779741194675, 'feature_1': 9.802601596398347, 'feature_2': 0.0025924342658389943, 'feature_3': 6.747075108467959, 'feature_4': 7.534117131978362}[0m
[32m2026-06-12 11:13:07.570[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.6065779741194675, 'feature_1': 9.802601596398347, 'feature_2': 0.0025924342658389943, 'feature_3': 6.747075108467959, 'feature_4': 7.534117131978362}[0m
[32m2026-06-12 11:13:07.570[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.6065779741194675, 9.802601596398347, 0.0025924342658389943, 6.747075108467959, 7.534117131978362], Scaled: [-1.12903922 1.60228221 -1.75750715 0.63009197 0.90381314][0m
[32m2026-06-12 11:13:07.571[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.3415815 0.6584185][0m
[32m2026-06-12 11:13:07.571[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.571[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.78 ms.[0m
[32m2026-06-12 11:13:07.571[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 65.84%)[0m
[32m2026-06-12 11:13:07.571[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 65.84%)[0m
[32m2026-06-12 11:13:07.617[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.486444322220931, 'feature_1': 5.057228562293079, 'feature_2': 9.190065919409898, 'feature_3': 3.257946257285721, 'feature_4': 8.221775968706254}[0m
[32m2026-06-12 11:13:07.617[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.486444322220931, 'feature_1': 5.057228562293079, 'feature_2': 9.190065919409898, 'feature_3': 3.257946257285721, 'feature_4': 8.221775968706254}[0m
[32m2026-06-12 11:13:07.618[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.486444322220931, 5.057228562293079, 9.190065919409898, 3.257946257285721, 8.221775968706254], Scaled: [ 1.19626225 0.0359799 1.51284652 -0.59316168 1.14362968][0m
[32m2026-06-12 11:13:07.618[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.93033806e-05 9.99980697e-01][0m
[32m2026-06-12 11:13:07.618[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.618[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:07.618[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.618[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.653[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.805138562743215, 'feature_1': 8.974269420076684, 'feature_2': 8.180539454101456, 'feature_3': 9.224660355251466, 'feature_4': 5.8087094909510455}[0m
[32m2026-06-12 11:13:07.653[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.805138562743215, 'feature_1': 8.974269420076684, 'feature_2': 8.180539454101456, 'feature_3': 9.224660355251466, 'feature_4': 5.8087094909510455}[0m
[32m2026-06-12 11:13:07.654[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.805138562743215, 8.974269420076684, 8.180539454101456, 9.224660355251466, 5.8087094909510455], Scaled: [1.30397658 1.32887512 1.15349761 1.49870856 0.30208847][0m
[32m2026-06-12 11:13:07.655[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [5.10731502e-09 9.99999995e-01][0m
[32m2026-06-12 11:13:07.655[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.655[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:07.655[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.655[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:07.690[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.715595277515074, 'feature_1': 8.20668649703112, 'feature_2': 2.577439313674539, 'feature_3': 8.455903904163192, 'feature_4': 3.4015663682691413}[0m
[32m2026-06-12 11:13:07.691[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.715595277515074, 'feature_1': 8.20668649703112, 'feature_2': 2.577439313674539, 'feature_3': 8.455903904163192, 'feature_4': 3.4015663682691413}[0m
[32m2026-06-12 11:13:07.691[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.715595277515074, 8.20668649703112, 2.577439313674539, 8.455903904163192, 3.4015663682691413], Scaled: [ 0.93572574 1.07551951 -0.84097009 1.22919024 -0.53738701][0m
[32m2026-06-12 11:13:07.692[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00176599 0.99823401][0m
[32m2026-06-12 11:13:07.692[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.692[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.75 ms.[0m
[32m2026-06-12 11:13:07.692[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.82%)[0m
[32m2026-06-12 11:13:07.692[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.82%)[0m
[32m2026-06-12 11:13:07.742[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.955522335015504, 'feature_1': 2.039039860877706, 'feature_2': 8.213864362553826, 'feature_3': 1.2454896975035168, 'feature_4': 0.1680219211825673}[0m
[32m2026-06-12 11:13:07.743[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.955522335015504, 'feature_1': 2.039039860877706, 'feature_2': 8.213864362553826, 'feature_3': 1.2454896975035168, 'feature_4': 0.1680219211825673}[0m
[32m2026-06-12 11:13:07.743[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.955522335015504, 2.039039860877706, 8.213864362553826, 1.2454896975035168, 0.1680219211825673], Scaled: [ 1.01681783 -0.96023176 1.16535987 -1.29870881 -1.66506457][0m
[32m2026-06-12 11:13:07.744[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99828146 0.00171854][0m
[32m2026-06-12 11:13:07.744[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.744[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.88 ms.[0m
[32m2026-06-12 11:13:07.744[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:13:07.745[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:13:07.798[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.9698316033547076, 'feature_1': 9.36026434930393, 'feature_2': 5.04255055582179, 'feature_3': 4.408338267754594, 'feature_4': 9.486348178688592}[0m
[32m2026-06-12 11:13:07.799[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.9698316033547076, 'feature_1': 9.36026434930393, 'feature_2': 5.04255055582179, 'feature_3': 4.408338267754594, 'feature_4': 9.486348178688592}[0m
[32m2026-06-12 11:13:07.799[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.9698316033547076, 9.36026434930393, 5.04255055582179, 4.408338267754594, 9.486348178688592], Scaled: [-0.33029156 1.45628023 0.0365057 -0.18984576 1.584641 ][0m
[32m2026-06-12 11:13:07.800[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.97963368e-04 9.99802037e-01][0m
[32m2026-06-12 11:13:07.800[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.800[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:07.800[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:07.800[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:07.864[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.9360160951622483, 'feature_1': 5.212053255907126, 'feature_2': 6.990388458829948, 'feature_3': 8.799197030526043, 'feature_4': 1.588071204512721}[0m
[32m2026-06-12 11:13:07.864[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.9360160951622483, 'feature_1': 5.212053255907126, 'feature_2': 6.990388458829948, 'feature_3': 8.799197030526043, 'feature_4': 1.588071204512721}[0m
[32m2026-06-12 11:13:07.865[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.9360160951622483, 5.212053255907126, 6.990388458829948, 8.799197030526043, 1.588071204512721], Scaled: [-0.34172074 0.08708279 0.72985397 1.34954537 -1.16983164][0m
[32m2026-06-12 11:13:07.866[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.12976817 0.87023183][0m
[32m2026-06-12 11:13:07.866[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:07.866[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.88 ms.[0m
[32m2026-06-12 11:13:07.866[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 87.02%)[0m
[32m2026-06-12 11:13:07.866[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 87.02%)[0m
[32m2026-06-12 11:13:07.900[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.4696317126791003, 'feature_1': 6.162865825330568, 'feature_2': 7.5780371067781624, 'feature_3': 2.17607452722534, 'feature_4': 0.30949941527485425}[0m
[32m2026-06-12 11:13:07.900[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.4696317126791003, 'feature_1': 6.162865825330568, 'feature_2': 7.5780371067781624, 'feature_3': 2.17607452722534, 'feature_4': 0.30949941527485425}[0m
[32m2026-06-12 11:13:07.901[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.4696317126791003, 6.162865825330568, 7.5780371067781624, 2.17607452722534, 0.30949941527485425], Scaled: [-1.1753252 0.4009169 0.93903215 -0.97245508 -1.61572522][0m
[32m2026-06-12 11:13:07.903[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99802100e-01 1.97900043e-04][0m
[32m2026-06-12 11:13:07.903[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.903[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.82 ms.[0m
[32m2026-06-12 11:13:07.903[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:07.903[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:07.944[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.0716315195291115, 'feature_1': 5.568183448703556, 'feature_2': 1.210017450292965, 'feature_3': 8.007508208892599, 'feature_4': 2.806640884397326}[0m
[32m2026-06-12 11:13:07.944[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.0716315195291115, 'feature_1': 5.568183448703556, 'feature_2': 1.210017450292965, 'feature_3': 8.007508208892599, 'feature_4': 2.806640884397326}[0m
[32m2026-06-12 11:13:07.945[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.0716315195291115, 5.568183448703556, 1.210017450292965, 8.007508208892599, 2.806640884397326], Scaled: [-1.30984387 0.20463046 -1.32771469 1.0719872 -0.7448634 ][0m
[32m2026-06-12 11:13:07.946[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99514792e-01 4.85207981e-04][0m
[32m2026-06-12 11:13:07.946[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.946[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:07.946[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:13:07.946[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:13:07.980[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.505747768049059, 'feature_1': 1.469710274693754, 'feature_2': 3.7613704529495395, 'feature_3': 0.24764372389863398, 'feature_4': 8.898299614974045}[0m
[32m2026-06-12 11:13:07.980[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.505747768049059, 'feature_1': 1.469710274693754, 'feature_2': 3.7613704529495395, 'feature_3': 0.24764372389863398, 'feature_4': 8.898299614974045}[0m
[32m2026-06-12 11:13:07.981[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.505747768049059, 1.469710274693754, 3.7613704529495395, 0.24764372389863398, 8.898299614974045], Scaled: [ 1.20278656 -1.14815002 -0.41954046 -1.64854362 1.3795629 ][0m
[32m2026-06-12 11:13:07.982[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.94825981 0.05174019][0m
[32m2026-06-12 11:13:07.982[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:07.982[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.06 ms.[0m
[32m2026-06-12 11:13:07.982[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 94.83%)[0m
[32m2026-06-12 11:13:07.983[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 94.83%)[0m
[32m2026-06-12 11:13:08.048[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.347561575468333, 'feature_1': 3.176033788807817, 'feature_2': 9.773685948252808, 'feature_3': 2.9315260330222803, 'feature_4': 6.211755437649566}[0m
[32m2026-06-12 11:13:08.048[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.347561575468333, 'feature_1': 3.176033788807817, 'feature_2': 9.773685948252808, 'feature_3': 2.9315260330222803, 'feature_4': 6.211755437649566}[0m
[32m2026-06-12 11:13:08.049[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.347561575468333, 3.176033788807817, 9.773685948252808, 2.9315260330222803, 6.211755437649566], Scaled: [ 0.47334891 -0.58494488 1.72059068 -0.70760135 0.44264812][0m
[32m2026-06-12 11:13:08.049[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.01751722 0.98248278][0m
[32m2026-06-12 11:13:08.050[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.050[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.82 ms.[0m
[32m2026-06-12 11:13:08.050[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 98.25%)[0m
[32m2026-06-12 11:13:08.050[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 98.25%)[0m
[32m2026-06-12 11:13:08.104[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.243525213301332, 'feature_1': 3.1908082265870563, 'feature_2': 1.2047482593635106, 'feature_3': 2.898593517045228, 'feature_4': 8.479534574694133}[0m
[32m2026-06-12 11:13:08.104[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.243525213301332, 'feature_1': 3.1908082265870563, 'feature_2': 1.2047482593635106, 'feature_3': 2.898593517045228, 'feature_4': 8.479534574694133}[0m
[32m2026-06-12 11:13:08.105[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.243525213301332, 3.1908082265870563, 1.2047482593635106, 2.898593517045228, 8.479534574694133], Scaled: [-1.25174613 -0.58006829 -1.3295903 -0.71914716 1.23352132][0m
[32m2026-06-12 11:13:08.106[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99947286e-01 5.27140440e-05][0m
[32m2026-06-12 11:13:08.106[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.106[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.09 ms.[0m
[32m2026-06-12 11:13:08.106[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:08.106[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:08.141[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.046969910522981495, 'feature_1': 3.3487613619363685, 'feature_2': 6.160753610238261, 'feature_3': 8.95992842289922, 'feature_4': 9.87270037490953}[0m
[32m2026-06-12 11:13:08.141[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.046969910522981495, 'feature_1': 3.3487613619363685, 'feature_2': 6.160753610238261, 'feature_3': 8.95992842289922, 'feature_4': 9.87270037490953}[0m
[32m2026-06-12 11:13:08.142[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.046969910522981495, 3.3487613619363685, 6.160753610238261, 8.95992842289922, 9.87270037490953], Scaled: [-1.65616559 -0.5279328 0.4345389 1.40589619 1.71937881][0m
[32m2026-06-12 11:13:08.143[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02172 0.97828][0m
[32m2026-06-12 11:13:08.143[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.143[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:08.143[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.83%)[0m
[32m2026-06-12 11:13:08.143[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.83%)[0m
[32m2026-06-12 11:13:08.206[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.28825329194030025, 'feature_1': 3.4310229463715647, 'feature_2': 3.807772170222713, 'feature_3': 8.423872585652369, 'feature_4': 5.767686554793611}[0m
[32m2026-06-12 11:13:08.206[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.28825329194030025, 'feature_1': 3.4310229463715647, 'feature_2': 3.807772170222713, 'feature_3': 8.423872585652369, 'feature_4': 5.767686554793611}[0m
[32m2026-06-12 11:13:08.207[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.28825329194030025, 3.4310229463715647, 3.807772170222713, 8.423872585652369, 5.767686554793611], Scaled: [-1.57461508 -0.50078077 -0.4030234 1.21796038 0.28778199][0m
[32m2026-06-12 11:13:08.208[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.983166 0.016834][0m
[32m2026-06-12 11:13:08.208[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.208[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:08.208[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 98.32%)[0m
[32m2026-06-12 11:13:08.208[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 98.32%)[0m
[32m2026-06-12 11:13:08.272[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.39802002688985, 'feature_1': 5.763949536845834, 'feature_2': 4.297531077279877, 'feature_3': 1.752410592158259, 'feature_4': 1.0236425773381852}[0m
[32m2026-06-12 11:13:08.272[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.39802002688985, 'feature_1': 5.763949536845834, 'feature_2': 4.297531077279877, 'feature_3': 1.752410592158259, 'feature_4': 1.0236425773381852}[0m
[32m2026-06-12 11:13:08.273[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.39802002688985, 5.763949536845834, 4.297531077279877, 1.752410592158259, 1.0236425773381852], Scaled: [ 0.82838961 0.26924685 -0.22868986 -1.12098742 -1.36667244][0m
[32m2026-06-12 11:13:08.274[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99655566 0.00344434][0m
[32m2026-06-12 11:13:08.274[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.274[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:08.274[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.66%)[0m
[32m2026-06-12 11:13:08.274[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.66%)[0m
[32m2026-06-12 11:13:08.301[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.343421451486276, 'feature_1': 0.5420780412418214, 'feature_2': 1.1719839935855059, 'feature_3': 8.978073943463755, 'feature_4': 9.056962181515477}[0m
[32m2026-06-12 11:13:08.301[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.343421451486276, 'feature_1': 0.5420780412418214, 'feature_2': 1.1719839935855059, 'feature_3': 8.978073943463755, 'feature_4': 9.056962181515477}[0m
[32m2026-06-12 11:13:08.302[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.343421451486276, 0.5420780412418214, 1.1719839935855059, 8.978073943463755, 9.056962181515477], Scaled: [ 0.80993603 -1.45433301 -1.341253 1.41225783 1.43489543][0m
[32m2026-06-12 11:13:08.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.1158951 0.8841049][0m
[32m2026-06-12 11:13:08.303[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.303[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.85 ms.[0m
[32m2026-06-12 11:13:08.303[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 88.41%)[0m
[32m2026-06-12 11:13:08.303[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 88.41%)[0m
[32m2026-06-12 11:13:08.348[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.9897291755860866, 'feature_1': 1.662712626501488, 'feature_2': 4.862301784802257, 'feature_3': 5.757589298494259, 'feature_4': 7.3507761460516505}[0m
[32m2026-06-12 11:13:08.349[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.9897291755860866, 'feature_1': 1.662712626501488, 'feature_2': 4.862301784802257, 'feature_3': 5.757589298494259, 'feature_4': 7.3507761460516505}[0m
[32m2026-06-12 11:13:08.349[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.9897291755860866, 1.662712626501488, 4.862301784802257, 5.757589298494259, 7.3507761460516505], Scaled: [-0.66155288 -1.08444585 -0.02765527 0.28318815 0.83987417][0m
[32m2026-06-12 11:13:08.350[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.95617812 0.04382188][0m
[32m2026-06-12 11:13:08.350[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.350[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:08.350[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 95.62%)[0m
[32m2026-06-12 11:13:08.350[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 95.62%)[0m
[32m2026-06-12 11:13:08.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.701527403989812, 'feature_1': 4.120560892710654, 'feature_2': 7.610984994067879, 'feature_3': 2.723479751106902, 'feature_4': 2.21900287538924}[0m
[32m2026-06-12 11:13:08.385[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.701527403989812, 'feature_1': 4.120560892710654, 'feature_2': 7.610984994067879, 'feature_3': 2.723479751106902, 'feature_4': 2.21900287538924}[0m
[32m2026-06-12 11:13:08.386[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.701527403989812, 4.120560892710654, 7.610984994067879, 2.723479751106902, 2.21900287538924], Scaled: [ 0.93097099 -0.27318541 0.95076021 -0.78054029 -0.94979833][0m
[32m2026-06-12 11:13:08.387[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.67439296 0.32560704][0m
[32m2026-06-12 11:13:08.387[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.387[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:13:08.387[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 67.44%)[0m
[32m2026-06-12 11:13:08.387[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 67.44%)[0m
[32m2026-06-12 11:13:08.432[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.314328213056119, 'feature_1': 3.584927016349563, 'feature_2': 8.321977481164389, 'feature_3': 0.41125496031163555, 'feature_4': 6.829879844653981}[0m
[32m2026-06-12 11:13:08.432[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.314328213056119, 'feature_1': 3.584927016349563, 'feature_2': 8.321977481164389, 'feature_3': 0.41125496031163555, 'feature_4': 6.829879844653981}[0m
[32m2026-06-12 11:13:08.433[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.314328213056119, 3.584927016349563, 8.321977481164389, 0.41125496031163555, 6.829879844653981], Scaled: [-0.21385638 -0.44998175 1.20384359 -1.59118316 0.65821498][0m
[32m2026-06-12 11:13:08.434[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.87464298 0.12535702][0m
[32m2026-06-12 11:13:08.434[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.434[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:08.434[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 87.46%)[0m
[32m2026-06-12 11:13:08.434[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 87.46%)[0m
[32m2026-06-12 11:13:08.477[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.723048643988092, 'feature_1': 9.64338838500614, 'feature_2': 3.3037870806507508, 'feature_3': 2.5035813508015248, 'feature_4': 8.603958057533767}[0m
[32m2026-06-12 11:13:08.477[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.723048643988092, 'feature_1': 9.64338838500614, 'feature_2': 3.3037870806507508, 'feature_3': 2.5035813508015248, 'feature_4': 8.603958057533767}[0m
[32m2026-06-12 11:13:08.478[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.723048643988092, 9.64338838500614, 3.3037870806507508, 2.5035813508015248, 8.603958057533767], Scaled: [ 0.26227201 1.5497308 -0.58242087 -0.85763447 1.2769132 ][0m
[32m2026-06-12 11:13:08.479[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00393066 0.99606934][0m
[32m2026-06-12 11:13:08.479[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.479[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:08.479[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.61%)[0m
[32m2026-06-12 11:13:08.479[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.61%)[0m
[32m2026-06-12 11:13:08.517[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.380683251124058, 'feature_1': 5.238953219722554, 'feature_2': 7.029663227787976, 'feature_3': 4.2068142755121976, 'feature_4': 9.498598854256569}[0m
[32m2026-06-12 11:13:08.518[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.380683251124058, 'feature_1': 5.238953219722554, 'feature_2': 7.029663227787976, 'feature_3': 4.2068142755121976, 'feature_4': 9.498598854256569}[0m
[32m2026-06-12 11:13:08.518[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.380683251124058, 5.238953219722554, 7.029663227787976, 4.2068142755121976, 9.498598854256569], Scaled: [ 0.14655715 0.09596164 0.74383414 -0.26049805 1.58891334][0m
[32m2026-06-12 11:13:08.519[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [6.24607358e-04 9.99375393e-01][0m
[32m2026-06-12 11:13:08.519[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.519[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.78 ms.[0m
[32m2026-06-12 11:13:08.519[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:13:08.519[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:13:08.586[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.3306479724837805, 'feature_1': 6.18426763468353, 'feature_2': 9.897359518681359, 'feature_3': 4.753471788381511, 'feature_4': 3.1416307157991907}[0m
[32m2026-06-12 11:13:08.586[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.3306479724837805, 'feature_1': 6.18426763468353, 'feature_2': 9.897359518681359, 'feature_3': 4.753471788381511, 'feature_4': 3.1416307157991907}[0m
[32m2026-06-12 11:13:08.587[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.3306479724837805, 6.18426763468353, 9.897359518681359, 4.753471788381511, 3.1416307157991907], Scaled: [ 0.80561877 0.40798098 1.76461326 -0.0688454 -0.62803788][0m
[32m2026-06-12 11:13:08.587[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.90472435e-04 9.99509528e-01][0m
[32m2026-06-12 11:13:08.588[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.588[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.76 ms.[0m
[32m2026-06-12 11:13:08.588[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:13:08.588[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.95%)[0m
[32m2026-06-12 11:13:08.621[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.685964441437275, 'feature_1': 4.376767354786546, 'feature_2': 0.42583837682406034, 'feature_3': 6.464848780434577, 'feature_4': 7.253158551939368}[0m
[32m2026-06-12 11:13:08.622[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.685964441437275, 'feature_1': 4.376767354786546, 'feature_2': 0.42583837682406034, 'feature_3': 6.464848780434577, 'feature_4': 7.253158551939368}[0m
[32m2026-06-12 11:13:08.622[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.685964441437275, 4.376767354786546, 0.42583837682406034, 6.464848780434577, 7.253158551939368], Scaled: [ 1.26369735 -0.18861951 -1.60684942 0.53114624 0.80583067][0m
[32m2026-06-12 11:13:08.623[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.09188683 0.90811317][0m
[32m2026-06-12 11:13:08.623[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.623[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:08.623[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 90.81%)[0m
[32m2026-06-12 11:13:08.623[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 90.81%)[0m
[32m2026-06-12 11:13:08.674[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.983668960571252, 'feature_1': 5.711847331302207, 'feature_2': 0.3674932281688026, 'feature_3': 4.807385637683673, 'feature_4': 4.718580033392868}[0m
[32m2026-06-12 11:13:08.675[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.983668960571252, 'feature_1': 5.711847331302207, 'feature_2': 0.3674932281688026, 'feature_3': 4.807385637683673, 'feature_4': 4.718580033392868}[0m
[32m2026-06-12 11:13:08.675[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.983668960571252, 5.711847331302207, 0.3674932281688026, 4.807385637683673, 4.718580033392868], Scaled: [ 1.026331 0.25204951 -1.62761784 -0.04994375 -0.07808708][0m
[32m2026-06-12 11:13:08.676[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.86996171 0.13003829][0m
[32m2026-06-12 11:13:08.676[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.676[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:08.676[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 87.00%)[0m
[32m2026-06-12 11:13:08.676[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 87.00%)[0m
[32m2026-06-12 11:13:08.714[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.2580873764371674, 'feature_1': 1.1174374536339604, 'feature_2': 6.009018729972575, 'feature_3': 1.1158352330165122, 'feature_4': 5.0619128892796255}[0m
[32m2026-06-12 11:13:08.714[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.2580873764371674, 'feature_1': 1.1174374536339604, 'feature_2': 6.009018729972575, 'feature_3': 1.1158352330165122, 'feature_4': 5.0619128892796255}[0m
[32m2026-06-12 11:13:08.715[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.2580873764371674, 1.1174374536339604, 6.009018729972575, 1.1158352330165122, 5.0619128892796255], Scaled: [-0.57085145 -1.26442449 0.38052768 -1.34416437 0.04164802][0m
[32m2026-06-12 11:13:08.715[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99963589e-01 3.64105306e-05][0m
[32m2026-06-12 11:13:08.715[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.715[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.77 ms.[0m
[32m2026-06-12 11:13:08.716[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:08.716[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:08.766[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.074878307267493, 'feature_1': 3.554836602596704, 'feature_2': 3.1823064681891933, 'feature_3': 6.172095181208297, 'feature_4': 4.9910799638401}[0m
[32m2026-06-12 11:13:08.766[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.074878307267493, 'feature_1': 3.554836602596704, 'feature_2': 3.1823064681891933, 'feature_3': 6.172095181208297, 'feature_4': 4.9910799638401}[0m
[32m2026-06-12 11:13:08.767[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.074878307267493, 3.554836602596704, 3.1823064681891933, 6.172095181208297, 4.9910799638401], Scaled: [ 0.71917209 -0.45991367 -0.62566286 0.42850976 0.0169455 ][0m
[32m2026-06-12 11:13:08.767[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.55685298 0.44314702][0m
[32m2026-06-12 11:13:08.767[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.767[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:08.767[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 55.69%)[0m
[32m2026-06-12 11:13:08.767[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 55.69%)[0m
[32m2026-06-12 11:13:08.807[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.309104431037296, 'feature_1': 7.801649137434923, 'feature_2': 6.885427205100281, 'feature_3': 8.582670375679744, 'feature_4': 9.985700679026154}[0m
[32m2026-06-12 11:13:08.807[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.309104431037296, 'feature_1': 7.801649137434923, 'feature_2': 6.885427205100281, 'feature_3': 8.582670375679744, 'feature_4': 9.985700679026154}[0m
[32m2026-06-12 11:13:08.808[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.309104431037296, 7.801649137434923, 6.885427205100281, 8.582670375679744, 9.985700679026154], Scaled: [1.47431021 0.94182908 0.69249219 1.2736333 1.75878693][0m
[32m2026-06-12 11:13:08.809[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.66863034e-10 9.99999999e-01][0m
[32m2026-06-12 11:13:08.809[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.809[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.94 ms.[0m
[32m2026-06-12 11:13:08.809[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:08.809[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:08.874[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.007493628159524, 'feature_1': 5.106510833616155, 'feature_2': 6.147042136045084, 'feature_3': 4.495548187733239, 'feature_4': 8.660035908533942}[0m
[32m2026-06-12 11:13:08.874[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.007493628159524, 'feature_1': 5.106510833616155, 'feature_2': 6.147042136045084, 'feature_3': 4.495548187733239, 'feature_4': 8.660035908533942}[0m
[32m2026-06-12 11:13:08.875[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.007493628159524, 5.106510833616155, 6.147042136045084, 4.495548187733239, 8.660035908533942], Scaled: [ 0.69639699 0.05224647 0.4296582 -0.15927083 1.29646998][0m
[32m2026-06-12 11:13:08.876[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [5.86382101e-04 9.99413618e-01][0m
[32m2026-06-12 11:13:08.876[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.876[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:08.876[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:13:08.876[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.94%)[0m
[32m2026-06-12 11:13:08.914[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.09702167060982, 'feature_1': 6.5224994804384115, 'feature_2': 6.031008761389966, 'feature_3': 5.560508563270853, 'feature_4': 4.3482463744685615}[0m
[32m2026-06-12 11:13:08.914[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.09702167060982, 'feature_1': 6.5224994804384115, 'feature_2': 6.031008761389966, 'feature_3': 5.560508563270853, 'feature_4': 4.3482463744685615}[0m
[32m2026-06-12 11:13:08.915[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.09702167060982, 6.5224994804384115, 6.031008761389966, 5.560508563270853, 4.3482463744685615], Scaled: [-0.28730304 0.51962095 0.3883552 0.21409361 -0.20723853][0m
[32m2026-06-12 11:13:08.916[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.1355855 0.8644145][0m
[32m2026-06-12 11:13:08.916[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:08.916[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.69 ms.[0m
[32m2026-06-12 11:13:08.916[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 86.44%)[0m
[32m2026-06-12 11:13:08.916[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 86.44%)[0m
[32m2026-06-12 11:13:08.962[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.895867622367352, 'feature_1': 2.0418279023551147, 'feature_2': 1.3966420517256228, 'feature_3': 4.492445099308467, 'feature_4': 4.157063817907183}[0m
[32m2026-06-12 11:13:08.962[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.895867622367352, 'feature_1': 2.0418279023551147, 'feature_2': 1.3966420517256228, 'feature_3': 4.492445099308467, 'feature_4': 4.157063817907183}[0m
[32m2026-06-12 11:13:08.963[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.895867622367352, 2.0418279023551147, 1.3966420517256228, 4.492445099308467, 4.157063817907183], Scaled: [ 0.32068248 -0.95931151 -1.26128419 -0.16035875 -0.2739122 ][0m
[32m2026-06-12 11:13:08.964[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99817905e-01 1.82095138e-04][0m
[32m2026-06-12 11:13:08.964[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:08.964[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.88 ms.[0m
[32m2026-06-12 11:13:08.964[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:08.964[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.98%)[0m
[32m2026-06-12 11:13:08.998[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.575347794498107, 'feature_1': 9.860638665595975, 'feature_2': 1.3908513388931787, 'feature_3': 6.056540951891822, 'feature_4': 5.583018308545313}[0m
[32m2026-06-12 11:13:08.998[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.575347794498107, 'feature_1': 9.860638665595975, 'feature_2': 1.3908513388931787, 'feature_3': 6.056540951891822, 'feature_4': 5.583018308545313}[0m
[32m2026-06-12 11:13:08.999[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.575347794498107, 9.860638665595975, 1.3908513388931787, 6.056540951891822, 5.583018308545313], Scaled: [ 0.88832399 1.62143847 -1.26334544 0.3879976 0.22338014][0m
[32m2026-06-12 11:13:09.001[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00165513 0.99834487][0m
[32m2026-06-12 11:13:09.001[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.001[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 1.52 ms.[0m
[32m2026-06-12 11:13:09.001[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:13:09.002[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.83%)[0m
[32m2026-06-12 11:13:09.050[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.9039773650535499, 'feature_1': 2.189939575969876, 'feature_2': 8.640259235179307, 'feature_3': 3.246263992942043, 'feature_4': 8.001074904871267}[0m
[32m2026-06-12 11:13:09.051[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.9039773650535499, 'feature_1': 2.189939575969876, 'feature_2': 8.640259235179307, 'feature_3': 3.246263992942043, 'feature_4': 8.001074904871267}[0m
[32m2026-06-12 11:13:09.051[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.9039773650535499, 2.189939575969876, 8.640259235179307, 3.246263992942043, 8.001074904871267], Scaled: [-1.3665087 -0.91042438 1.31713849 -0.59725737 1.06666162][0m
[32m2026-06-12 11:13:09.052[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.92768658 0.07231342][0m
[32m2026-06-12 11:13:09.052[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.052[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:09.052[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 92.77%)[0m
[32m2026-06-12 11:13:09.052[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 92.77%)[0m
[32m2026-06-12 11:13:09.106[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.638521585757311, 'feature_1': 8.499092433649402, 'feature_2': 3.0650901160612074, 'feature_3': 6.851599612985427, 'feature_4': 2.0372737617844585}[0m
[32m2026-06-12 11:13:09.106[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.638521585757311, 'feature_1': 8.499092433649402, 'feature_2': 3.0650901160612074, 'feature_3': 6.851599612985427, 'feature_4': 2.0372737617844585}[0m
[32m2026-06-12 11:13:09.107[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.638521585757311, 8.499092433649402, 3.0650901160612074, 6.851599612985427, 2.0372737617844585], Scaled: [ 0.90967587 1.17203375 -0.66738694 0.66673721 -1.01317517][0m
[32m2026-06-12 11:13:09.108[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02408951 0.97591049][0m
[32m2026-06-12 11:13:09.108[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.108[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:09.108[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.59%)[0m
[32m2026-06-12 11:13:09.108[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.59%)[0m
[32m2026-06-12 11:13:09.156[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.020403383615343, 'feature_1': 5.27448564773554, 'feature_2': 4.975683591043248, 'feature_3': 8.12707278114934, 'feature_4': 9.810764110536404}[0m
[32m2026-06-12 11:13:09.156[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.020403383615343, 'feature_1': 5.27448564773554, 'feature_2': 4.975683591043248, 'feature_3': 8.12707278114934, 'feature_4': 9.810764110536404}[0m
[32m2026-06-12 11:13:09.157[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.020403383615343, 5.27448564773554, 4.975683591043248, 8.12707278114934, 9.810764110536404], Scaled: [0.02478745 0.10768981 0.01270388 1.11390534 1.69777894][0m
[32m2026-06-12 11:13:09.157[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [7.25703746e-05 9.99927430e-01][0m
[32m2026-06-12 11:13:09.158[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.158[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:09.158[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:09.158[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:09.230[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.268314499336645, 'feature_1': 4.319958297110129, 'feature_2': 1.6990474815366607, 'feature_3': 6.59787850834403, 'feature_4': 2.6302755913735965}[0m
[32m2026-06-12 11:13:09.231[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.268314499336645, 'feature_1': 4.319958297110129, 'feature_2': 1.6990474815366607, 'feature_3': 6.59787850834403, 'feature_4': 2.6302755913735965}[0m
[32m2026-06-12 11:13:09.231[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.268314499336645, 4.319958297110129, 1.6990474815366607, 6.59787850834403, 2.6302755913735965], Scaled: [ 1.12253733 -0.20737044 -1.1536406 0.57778513 -0.80636965][0m
[32m2026-06-12 11:13:09.232[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.87187529 0.12812471][0m
[32m2026-06-12 11:13:09.232[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.232[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:09.232[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 87.19%)[0m
[32m2026-06-12 11:13:09.232[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 87.19%)[0m
[32m2026-06-12 11:13:09.275[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.59905058471197, 'feature_1': 3.503350227357933, 'feature_2': 1.6506998382368077, 'feature_3': 5.641881196440762, 'feature_4': 6.119438859755108}[0m
[32m2026-06-12 11:13:09.275[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.59905058471197, 'feature_1': 3.503350227357933, 'feature_2': 1.6506998382368077, 'feature_3': 5.641881196440762, 'feature_4': 6.119438859755108}[0m
[32m2026-06-12 11:13:09.276[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.59905058471197, 3.503350227357933, 1.6506998382368077, 5.641881196440762, 6.119438859755108], Scaled: [ 1.23432164 -0.47690775 -1.17085032 0.24262205 0.41045331][0m
[32m2026-06-12 11:13:09.277[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.42011431 0.57988569][0m
[32m2026-06-12 11:13:09.277[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.277[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.89 ms.[0m
[32m2026-06-12 11:13:09.277[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 57.99%)[0m
[32m2026-06-12 11:13:09.277[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 57.99%)[0m
[32m2026-06-12 11:13:09.349[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.07356306722700157, 'feature_1': 8.76976926799459, 'feature_2': 6.636201939297456, 'feature_3': 7.0787907678170425, 'feature_4': 3.7487237657548054}[0m
[32m2026-06-12 11:13:09.350[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.07356306722700157, 'feature_1': 8.76976926799459, 'feature_2': 6.636201939297456, 'feature_3': 7.0787907678170425, 'feature_4': 3.7487237657548054}[0m
[32m2026-06-12 11:13:09.350[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.07356306722700157, 8.76976926799459, 6.636201939297456, 7.0787907678170425, 3.7487237657548054], Scaled: [-1.64717746 1.26137589 0.60377849 0.74638816 -0.41631813][0m
[32m2026-06-12 11:13:09.351[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.15752555 0.84247445][0m
[32m2026-06-12 11:13:09.351[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.351[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:09.351[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 84.25%)[0m
[32m2026-06-12 11:13:09.351[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 84.25%)[0m
[32m2026-06-12 11:13:09.383[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.431382115271455, 'feature_1': 8.147127960473856, 'feature_2': 2.553658020821874, 'feature_3': 0.7928915102402634, 'feature_4': 9.026474289245064}[0m
[32m2026-06-12 11:13:09.384[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.431382115271455, 'feature_1': 8.147127960473856, 'feature_2': 2.553658020821874, 'feature_3': 0.7928915102402634, 'feature_4': 9.026474289245064}[0m
[32m2026-06-12 11:13:09.384[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.431382115271455, 8.147127960473856, 2.553658020821874, 0.7928915102402634, 9.026474289245064], Scaled: [-0.51228018 1.05586106 -0.84943523 -1.4573852 1.42426298][0m
[32m2026-06-12 11:13:09.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.81224502 0.18775498][0m
[32m2026-06-12 11:13:09.385[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:09.385[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 81.22%)[0m
[32m2026-06-12 11:13:09.385[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 81.22%)[0m
[32m2026-06-12 11:13:09.442[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.7479115663837108, 'feature_1': 8.832969582471646, 'feature_2': 5.77674342682534, 'feature_3': 0.8919310449390294, 'feature_4': 9.565634189690417}[0m
[32m2026-06-12 11:13:09.442[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.7479115663837108, 'feature_1': 8.832969582471646, 'feature_2': 5.77674342682534, 'feature_3': 0.8919310449390294, 'feature_4': 9.565634189690417}[0m
[32m2026-06-12 11:13:09.442[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.7479115663837108, 8.832969582471646, 5.77674342682534, 0.8919310449390294, 9.565634189690417], Scaled: [-1.08127039 1.28223637 0.29784745 -1.42266294 1.61229148][0m
[32m2026-06-12 11:13:09.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.11450951 0.88549049][0m
[32m2026-06-12 11:13:09.443[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.443[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:09.443[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 88.55%)[0m
[32m2026-06-12 11:13:09.443[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 88.55%)[0m
[32m2026-06-12 11:13:09.473[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.969522851862089, 'feature_1': 9.237444328490263, 'feature_2': 8.905176707821184, 'feature_3': 5.465964074858805, 'feature_4': 1.2047074785246403}[0m
[32m2026-06-12 11:13:09.473[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.969522851862089, 'feature_1': 9.237444328490263, 'feature_2': 8.905176707821184, 'feature_3': 5.465964074858805, 'feature_4': 1.2047074785246403}[0m
[32m2026-06-12 11:13:09.473[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.969522851862089, 9.237444328490263, 8.905176707821184, 5.465964074858805, 1.2047074785246403], Scaled: [-0.66838235 1.4157411 1.41143796 0.18094726 -1.30352724][0m
[32m2026-06-12 11:13:09.474[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.02743032 0.97256968][0m
[32m2026-06-12 11:13:09.474[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.474[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.69 ms.[0m
[32m2026-06-12 11:13:09.474[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 97.26%)[0m
[32m2026-06-12 11:13:09.474[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 97.26%)[0m
[32m2026-06-12 11:13:09.521[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.193624685327624, 'feature_1': 4.917632478749924, 'feature_2': 8.365359814295536, 'feature_3': 8.59544463965253, 'feature_4': 2.5443172121461455}[0m
[32m2026-06-12 11:13:09.522[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.193624685327624, 'feature_1': 4.917632478749924, 'feature_2': 8.365359814295536, 'feature_3': 8.59544463965253, 'feature_4': 2.5443172121461455}[0m
[32m2026-06-12 11:13:09.522[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.193624685327624, 4.917632478749924, 8.365359814295536, 8.59544463965253, 2.5443172121461455], Scaled: [-0.59263897 -0.01009649 1.21928588 1.27811183 -0.83634707][0m
[32m2026-06-12 11:13:09.523[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.03897031 0.96102969][0m
[32m2026-06-12 11:13:09.523[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.523[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:13:09.523[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 96.10%)[0m
[32m2026-06-12 11:13:09.523[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 96.10%)[0m
[32m2026-06-12 11:13:09.590[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.704914550585348, 'feature_1': 1.4996741964212934, 'feature_2': 2.1683644046586545, 'feature_3': 8.865402653797085, 'feature_4': 9.481882204324696}[0m
[32m2026-06-12 11:13:09.590[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.704914550585348, 'feature_1': 1.4996741964212934, 'feature_2': 2.1683644046586545, 'feature_3': 8.865402653797085, 'feature_4': 9.481882204324696}[0m
[32m2026-06-12 11:13:09.590[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.704914550585348, 1.4996741964212934, 2.1683644046586545, 8.865402653797085, 9.481882204324696], Scaled: [-1.09580279 -1.13825984 -0.98658353 1.3727564 1.58308352][0m
[32m2026-06-12 11:13:09.591[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.87081512 0.12918488][0m
[32m2026-06-12 11:13:09.591[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.591[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:09.591[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 87.08%)[0m
[32m2026-06-12 11:13:09.591[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 87.08%)[0m
[32m2026-06-12 11:13:09.634[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.081547487025341, 'feature_1': 3.981148186497001, 'feature_2': 0.4254202675146701, 'feature_3': 8.13358998534071, 'feature_4': 8.928300153521022}[0m
[32m2026-06-12 11:13:09.634[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.081547487025341, 'feature_1': 3.981148186497001, 'feature_2': 0.4254202675146701, 'feature_3': 8.13358998534071, 'feature_4': 8.928300153521022}[0m
[32m2026-06-12 11:13:09.635[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.081547487025341, 3.981148186497001, 0.4254202675146701, 8.13358998534071, 8.928300153521022], Scaled: [ 1.39739905 -0.31920128 -1.60699825 1.11619021 1.39002539][0m
[32m2026-06-12 11:13:09.635[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.0020081 0.9979919][0m
[32m2026-06-12 11:13:09.636[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.636[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.73 ms.[0m
[32m2026-06-12 11:13:09.636[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.80%)[0m
[32m2026-06-12 11:13:09.636[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.80%)[0m
[32m2026-06-12 11:13:09.680[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.924994489090478, 'feature_1': 3.7887795373586375, 'feature_2': 1.7789003287009986, 'feature_3': 1.9852373671142565, 'feature_4': 5.377270213578468}[0m
[32m2026-06-12 11:13:09.680[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.924994489090478, 'feature_1': 3.7887795373586375, 'feature_2': 1.7789003287009986, 'feature_3': 1.9852373671142565, 'feature_4': 5.377270213578468}[0m
[32m2026-06-12 11:13:09.680[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.924994489090478, 3.7887795373586375, 1.7789003287009986, 1.9852373671142565, 5.377270213578468], Scaled: [ 1.00649983 -0.38269628 -1.12521634 -1.03936068 0.15162683][0m
[32m2026-06-12 11:13:09.681[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.99448458 0.00551542][0m
[32m2026-06-12 11:13:09.681[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.681[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.82 ms.[0m
[32m2026-06-12 11:13:09.681[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.45%)[0m
[32m2026-06-12 11:13:09.681[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.45%)[0m
[32m2026-06-12 11:13:09.716[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.797037072196089, 'feature_1': 9.956488319152704, 'feature_2': 1.001463952944146, 'feature_3': 9.23742157730239, 'feature_4': 9.428127873983547}[0m
[32m2026-06-12 11:13:09.716[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.797037072196089, 'feature_1': 9.956488319152704, 'feature_2': 1.001463952944146, 'feature_3': 9.23742157730239, 'feature_4': 9.428127873983547}[0m
[32m2026-06-12 11:13:09.717[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.797037072196089, 9.956488319152704, 1.001463952944146, 9.23742157730239, 9.428127873983547], Scaled: [-0.05070734 1.6530755 -1.40195096 1.50318251 1.56433705][0m
[32m2026-06-12 11:13:09.718[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [1.66470223e-05 9.99983353e-01][0m
[32m2026-06-12 11:13:09.718[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.718[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.82 ms.[0m
[32m2026-06-12 11:13:09.718[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:09.718[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 100.00%)[0m
[32m2026-06-12 11:13:09.775[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.6633396071982898, 'feature_1': 7.194795414424334, 'feature_2': 8.324782025901214, 'feature_3': 3.8277050398225976, 'feature_4': 3.449754621389424}[0m
[32m2026-06-12 11:13:09.776[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.6633396071982898, 'feature_1': 7.194795414424334, 'feature_2': 8.324782025901214, 'feature_3': 3.8277050398225976, 'feature_4': 3.449754621389424}[0m
[32m2026-06-12 11:13:09.777[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.6633396071982898, 7.194795414424334, 8.324782025901214, 3.8277050398225976, 3.449754621389424], Scaled: [-1.10985456 0.74152525 1.20484189 -0.39340996 -0.52058167][0m
[32m2026-06-12 11:13:09.777[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.62833327 0.37166673][0m
[32m2026-06-12 11:13:09.777[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.777[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.83 ms.[0m
[32m2026-06-12 11:13:09.778[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 62.83%)[0m
[32m2026-06-12 11:13:09.778[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 62.83%)[0m
[32m2026-06-12 11:13:09.826[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 4.4839032550259805, 'feature_1': 0.8721933316340613, 'feature_2': 0.29948246400955947, 'feature_3': 8.223521646133062, 'feature_4': 4.811035609477882}[0m
[32m2026-06-12 11:13:09.826[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 4.4839032550259805, 'feature_1': 0.8721933316340613, 'feature_2': 0.29948246400955947, 'feature_3': 8.223521646133062, 'feature_4': 4.811035609477882}[0m
[32m2026-06-12 11:13:09.827[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [4.4839032550259805, 0.8721933316340613, 0.29948246400955947, 8.223521646133062, 4.811035609477882], Scaled: [-0.15654232 -1.34537206 -1.65182681 1.14771935 -0.0458438 ][0m
[32m2026-06-12 11:13:09.828[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.9960396e-01 3.9603990e-04][0m
[32m2026-06-12 11:13:09.828[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.828[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:13:09.828[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:09.828[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:09.866[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.7987333227199995, 'feature_1': 6.206082830046, 'feature_2': 9.42897567518338, 'feature_3': 4.45345528154125, 'feature_4': 1.8214867119646805}[0m
[32m2026-06-12 11:13:09.866[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.7987333227199995, 'feature_1': 6.206082830046, 'feature_2': 9.42897567518338, 'feature_3': 4.45345528154125, 'feature_4': 1.8214867119646805}[0m
[32m2026-06-12 11:13:09.867[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.7987333227199995, 6.206082830046, 9.42897567518338, 4.45345528154125, 1.8214867119646805], Scaled: [-0.72610689 0.41518151 1.59788833 -0.17402819 -1.0884295 ][0m
[32m2026-06-12 11:13:09.868[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.54435137 0.45564863][0m
[32m2026-06-12 11:13:09.868[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.868[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.80 ms.[0m
[32m2026-06-12 11:13:09.868[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 54.44%)[0m
[32m2026-06-12 11:13:09.868[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 54.44%)[0m
[32m2026-06-12 11:13:09.894[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.999886392024086, 'feature_1': 1.641661744822206, 'feature_2': 1.3615077285457644, 'feature_3': 6.56349213905812, 'feature_4': 9.790001796352023}[0m
[32m2026-06-12 11:13:09.894[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.999886392024086, 'feature_1': 1.641661744822206, 'feature_2': 1.3615077285457644, 'feature_3': 6.56349213905812, 'feature_4': 9.790001796352023}[0m
[32m2026-06-12 11:13:09.894[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.999886392024086, 1.641661744822206, 1.3615077285457644, 6.56349213905812, 9.790001796352023], Scaled: [ 1.70778514 -1.0913941 -1.27379053 0.56572962 1.69053822][0m
[32m2026-06-12 11:13:09.895[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00888361 0.99111639][0m
[32m2026-06-12 11:13:09.895[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:09.895[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:09.895[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.11%)[0m
[32m2026-06-12 11:13:09.895[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.11%)[0m
[32m2026-06-12 11:13:09.951[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.224658824552236, 'feature_1': 2.9446280242555325, 'feature_2': 3.94727377932878, 'feature_3': 5.26238640329809, 'feature_4': 3.320642745263628}[0m
[32m2026-06-12 11:13:09.951[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.224658824552236, 'feature_1': 2.9446280242555325, 'feature_2': 3.94727377932878, 'feature_3': 5.26238640329809, 'feature_4': 3.320642745263628}[0m
[32m2026-06-12 11:13:09.951[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.224658824552236, 2.9446280242555325, 3.94727377932878, 5.26238640329809, 3.320642745263628], Scaled: [ 1.10778231 -0.66132484 -0.35336671 0.10957497 -0.5656086 ][0m
[32m2026-06-12 11:13:09.952[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.84522507 0.15477493][0m
[32m2026-06-12 11:13:09.952[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:09.952[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:09.952[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 84.52%)[0m
[32m2026-06-12 11:13:09.952[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 84.52%)[0m
[32m2026-06-12 11:13:10.019[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.37811192194152, 'feature_1': 0.7336471714116888, 'feature_2': 4.506248211682239, 'feature_3': 6.650142331336148, 'feature_4': 1.660210280967298}[0m
[32m2026-06-12 11:13:10.019[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.37811192194152, 'feature_1': 0.7336471714116888, 'feature_2': 4.506248211682239, 'feature_3': 6.650142331336148, 'feature_4': 1.660210280967298}[0m
[32m2026-06-12 11:13:10.020[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.37811192194152, 0.7336471714116888, 4.506248211682239, 6.650142331336148, 1.660210280967298], Scaled: [-0.53028479 -1.3911019 -0.15439535 0.59610831 -1.1446736 ][0m
[32m2026-06-12 11:13:10.021[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99939539e-01 6.04612589e-05][0m
[32m2026-06-12 11:13:10.021[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:10.021[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.87 ms.[0m
[32m2026-06-12 11:13:10.021[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:10.021[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:10.067[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 8.535441621599487, 'feature_1': 4.875887056871954, 'feature_2': 8.305099707915202, 'feature_3': 0.4376930952735536, 'feature_4': 1.8657269049270453}[0m
[32m2026-06-12 11:13:10.067[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 8.535441621599487, 'feature_1': 4.875887056871954, 'feature_2': 8.305099707915202, 'feature_3': 0.4376930952735536, 'feature_4': 1.8657269049270453}[0m
[32m2026-06-12 11:13:10.068[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [8.535441621599487, 4.875887056871954, 8.305099707915202, 0.4376930952735536, 1.8657269049270453], Scaled: [ 1.21282268 -0.02387538 1.19783582 -1.58191421 -1.07300102][0m
[32m2026-06-12 11:13:10.069[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.75255889 0.24744111][0m
[32m2026-06-12 11:13:10.069[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:10.069[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:10.069[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 75.26%)[0m
[32m2026-06-12 11:13:10.069[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 75.26%)[0m
[32m2026-06-12 11:13:10.108[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.006490351941359, 'feature_1': 6.036076661924423, 'feature_2': 3.944065770644566, 'feature_3': 5.9045375242492, 'feature_4': 8.432836474208068}[0m
[32m2026-06-12 11:13:10.108[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.006490351941359, 'feature_1': 6.036076661924423, 'feature_2': 3.944065770644566, 'feature_3': 5.9045375242492, 'feature_4': 8.432836474208068}[0m
[32m2026-06-12 11:13:10.109[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.006490351941359, 6.036076661924423, 3.944065770644566, 5.9045375242492, 8.432836474208068], Scaled: [ 0.35807146 0.35906768 -0.35450862 0.33470672 1.21723566][0m
[32m2026-06-12 11:13:10.110[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00219186 0.99780814][0m
[32m2026-06-12 11:13:10.110[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.110[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:10.110[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:13:10.110[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.78%)[0m
[32m2026-06-12 11:13:10.135[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 2.7699882943303744, 'feature_1': 7.562762286174928, 'feature_2': 4.8291434883442825, 'feature_3': 5.032807498290235, 'feature_4': 6.810105350910916}[0m
[32m2026-06-12 11:13:10.136[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 2.7699882943303744, 'feature_1': 7.562762286174928, 'feature_2': 4.8291434883442825, 'feature_3': 5.032807498290235, 'feature_4': 6.810105350910916}[0m
[32m2026-06-12 11:13:10.136[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [2.7699882943303744, 7.562762286174928, 4.8291434883442825, 5.032807498290235, 6.810105350910916], Scaled: [-0.73582232 0.86297985 -0.03945823 0.0290869 0.65131875][0m
[32m2026-06-12 11:13:10.137[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.09074582 0.90925418][0m
[32m2026-06-12 11:13:10.137[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.137[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.69 ms.[0m
[32m2026-06-12 11:13:10.137[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 90.93%)[0m
[32m2026-06-12 11:13:10.137[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 90.93%)[0m
[32m2026-06-12 11:13:10.198[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 1.7064027809673232, 'feature_1': 1.726022248742155, 'feature_2': 3.2940908690191306, 'feature_3': 1.8709658787000583, 'feature_4': 8.697408321599216}[0m
[32m2026-06-12 11:13:10.198[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 1.7064027809673232, 'feature_1': 1.726022248742155, 'feature_2': 3.2940908690191306, 'feature_3': 1.8709658787000583, 'feature_4': 8.697408321599216}[0m
[32m2026-06-12 11:13:10.199[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [1.7064027809673232, 1.726022248742155, 3.2940908690191306, 1.8709658787000583, 8.697408321599216], Scaled: [-1.09529979 -1.06354928 -0.58587232 -1.07942312 1.30950337][0m
[32m2026-06-12 11:13:10.200[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99926130e-01 7.38700498e-05][0m
[32m2026-06-12 11:13:10.200[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:10.200[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.74 ms.[0m
[32m2026-06-12 11:13:10.200[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:10.200[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.99%)[0m
[32m2026-06-12 11:13:10.239[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.3777026387398745, 'feature_1': 8.76118675632419, 'feature_2': 5.083244690905478, 'feature_3': 9.386001687741967, 'feature_4': 3.3107585257308916}[0m
[32m2026-06-12 11:13:10.239[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.3777026387398745, 'feature_1': 8.76118675632419, 'feature_2': 5.083244690905478, 'feature_3': 9.386001687741967, 'feature_4': 3.3107585257308916}[0m
[32m2026-06-12 11:13:10.240[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.3777026387398745, 8.76118675632419, 5.083244690905478, 9.386001687741967, 3.3107585257308916], Scaled: [-0.53042312 1.25854306 0.0509911 1.55527321 -0.56905566][0m
[32m2026-06-12 11:13:10.241[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00264504 0.99735496][0m
[32m2026-06-12 11:13:10.241[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.241[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.94 ms.[0m
[32m2026-06-12 11:13:10.241[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.74%)[0m
[32m2026-06-12 11:13:10.241[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.74%)[0m
[32m2026-06-12 11:13:10.292[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 6.077521558406288, 'feature_1': 9.75804688727508, 'feature_2': 3.223788156883657, 'feature_3': 3.088212709737086, 'feature_4': 9.520444924264401}[0m
[32m2026-06-12 11:13:10.292[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 6.077521558406288, 'feature_1': 9.75804688727508, 'feature_2': 3.223788156883657, 'feature_3': 3.088212709737086, 'feature_4': 9.520444924264401}[0m
[32m2026-06-12 11:13:10.293[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [6.077521558406288, 9.75804688727508, 3.223788156883657, 3.088212709737086, 9.520444924264401], Scaled: [ 0.38207905 1.58757606 -0.61089712 -0.65266857 1.59653202][0m
[32m2026-06-12 11:13:10.294[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [4.28043033e-04 9.99571957e-01][0m
[32m2026-06-12 11:13:10.294[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.294[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.97 ms.[0m
[32m2026-06-12 11:13:10.294[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:10.294[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.96%)[0m
[32m2026-06-12 11:13:10.333[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.278249068952688, 'feature_1': 0.4710178254473485, 'feature_2': 2.139537942768317, 'feature_3': 4.000361835303339, 'feature_4': 6.542891407290451}[0m
[32m2026-06-12 11:13:10.333[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.278249068952688, 'feature_1': 0.4710178254473485, 'feature_2': 2.139537942768317, 'feature_3': 4.000361835303339, 'feature_4': 6.542891407290451}[0m
[32m2026-06-12 11:13:10.334[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.278249068952688, 0.4710178254473485, 2.139537942768317, 4.000361835303339, 6.542891407290451], Scaled: [ 0.11193579 -1.47778781 -0.99684454 -0.33287821 0.55812963][0m
[32m2026-06-12 11:13:10.335[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99717651e-01 2.82349230e-04][0m
[32m2026-06-12 11:13:10.335[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:10.335[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.77 ms.[0m
[32m2026-06-12 11:13:10.335[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:13:10.335[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.97%)[0m
[32m2026-06-12 11:13:10.383[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.9911565191455407, 'feature_1': 3.630955941716083, 'feature_2': 3.1503064791233717, 'feature_3': 6.9930107609221785, 'feature_4': 4.499075630534172}[0m
[32m2026-06-12 11:13:10.383[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.9911565191455407, 'feature_1': 3.630955941716083, 'feature_2': 3.1503064791233717, 'feature_3': 6.9930107609221785, 'feature_4': 4.499075630534172}[0m
[32m2026-06-12 11:13:10.384[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.9911565191455407, 3.630955941716083, 3.1503064791233717, 6.9930107609221785, 4.499075630534172], Scaled: [-1.33704332 -0.43478901 -0.6370535 0.71631455 -0.15463781][0m
[32m2026-06-12 11:13:10.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [9.99060508e-01 9.39491771e-04][0m
[32m2026-06-12 11:13:10.385[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 0[0m
[32m2026-06-12 11:13:10.385[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.71 ms.[0m
[32m2026-06-12 11:13:10.385[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: Low Risk (Confidence: 99.91%)[0m
[32m2026-06-12 11:13:10.385[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: Low Risk (Confidence: 99.91%)[0m
[32m2026-06-12 11:13:10.435[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 7.103091517544355, 'feature_1': 5.20168424231689, 'feature_2': 6.017396364105149, 'feature_3': 0.4869393990744708, 'feature_4': 7.57400702711394}[0m
[32m2026-06-12 11:13:10.435[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 7.103091517544355, 'feature_1': 5.20168424231689, 'feature_2': 6.017396364105149, 'feature_3': 0.4869393990744708, 'feature_4': 7.57400702711394}[0m
[32m2026-06-12 11:13:10.436[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [7.103091517544355, 5.20168424231689, 6.017396364105149, 0.4869393990744708, 7.57400702711394], Scaled: [ 0.72870778 0.08366029 0.38350976 -1.56464895 0.91772448][0m
[32m2026-06-12 11:13:10.437[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.18670907 0.81329093][0m
[32m2026-06-12 11:13:10.437[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.437[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.82 ms.[0m
[32m2026-06-12 11:13:10.437[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 81.33%)[0m
[32m2026-06-12 11:13:10.437[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 81.33%)[0m
[32m2026-06-12 11:13:10.486[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 0.25910153155756843, 'feature_1': 8.509216014331528, 'feature_2': 9.40620131137688, 'feature_3': 6.414347029957298, 'feature_4': 2.8166094934323596}[0m
[32m2026-06-12 11:13:10.487[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 0.25910153155756843, 'feature_1': 8.509216014331528, 'feature_2': 9.40620131137688, 'feature_3': 6.414347029957298, 'feature_4': 2.8166094934323596}[0m
[32m2026-06-12 11:13:10.488[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [0.25910153155756843, 8.509216014331528, 9.40620131137688, 6.414347029957298, 2.8166094934323596], Scaled: [-1.58446798 1.17537524 1.58978162 0.51344083 -0.74138691][0m
[32m2026-06-12 11:13:10.488[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.04387442 0.95612558][0m
[32m2026-06-12 11:13:10.488[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.488[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.81 ms.[0m
[32m2026-06-12 11:13:10.489[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 95.61%)[0m
[32m2026-06-12 11:13:10.489[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 95.61%)[0m
[32m2026-06-12 11:13:10.544[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 9.601805577731902, 'feature_1': 2.610864872453169, 'feature_2': 7.838935781509424, 'feature_3': 1.413249252635811, 'feature_4': 4.033308252084114}[0m
[32m2026-06-12 11:13:10.545[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 9.601805577731902, 'feature_1': 2.610864872453169, 'feature_2': 7.838935781509424, 'feature_3': 1.413249252635811, 'feature_4': 4.033308252084114}[0m
[32m2026-06-12 11:13:10.545[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [9.601805577731902, 2.610864872453169, 7.838935781509424, 1.413249252635811, 4.033308252084114], Scaled: [ 1.57323922 -0.77148983 1.03190109 -1.23989399 -0.31707115][0m
[32m2026-06-12 11:13:10.546[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.3772824 0.6227176][0m
[32m2026-06-12 11:13:10.546[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.546[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.72 ms.[0m
[32m2026-06-12 11:13:10.546[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 62.27%)[0m
[32m2026-06-12 11:13:10.546[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 62.27%)[0m
[32m2026-06-12 11:13:10.600[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 3.297743835020154, 'feature_1': 6.675631934144143, 'feature_2': 6.465379902518041, 'feature_3': 1.1015087428796044, 'feature_4': 9.825621458682471}[0m
[32m2026-06-12 11:13:10.600[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 3.297743835020154, 'feature_1': 6.675631934144143, 'feature_2': 6.465379902518041, 'feature_3': 1.1015087428796044, 'feature_4': 9.825621458682471}[0m
[32m2026-06-12 11:13:10.601[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [3.297743835020154, 6.675631934144143, 6.465379902518041, 1.1015087428796044, 9.825621458682471], Scaled: [-0.55744811 0.57016529 0.54297304 -1.34918709 1.70296035][0m
[32m2026-06-12 11:13:10.602[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.06624547 0.93375453][0m
[32m2026-06-12 11:13:10.602[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.602[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.79 ms.[0m
[32m2026-06-12 11:13:10.602[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 93.38%)[0m
[32m2026-06-12 11:13:10.602[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 93.38%)[0m
[32m2026-06-12 11:13:10.668[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36msimulate_data_stream_entry[0m:[36m25[0m - [34m[1mSimulated data point: {'feature_0': 5.59101787876916, 'feature_1': 9.26109007826294, 'feature_2': 1.8441248727257087, 'feature_3': 9.871850830633512, 'feature_4': 2.3068496754512235}[0m
[32m2026-06-12 11:13:10.668[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m17[0m - [1mStarting inference for raw data: {'feature_0': 5.59101787876916, 'feature_1': 9.26109007826294, 'feature_2': 1.8441248727257087, 'feature_3': 9.871850830633512, 'feature_4': 2.3068496754512235}[0m
[32m2026-06-12 11:13:10.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mpreprocess_data[0m:[36m26[0m - [34m[1mData preprocessed. Original: [5.59101787876916, 9.26109007826294, 1.8441248727257087, 9.871850830633512, 2.3068496754512235], Scaled: [ 0.2176474 1.42354584 -1.10199915 1.72560706 -0.91916233][0m
[32m2026-06-12 11:13:10.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m25[0m - [34m[1mRaw prediction probabilities: [0.00963733 0.99036267][0m
[32m2026-06-12 11:13:10.669[0m | [1mINFO [0m | [36m__main__[0m:[36mrun_inference[0m:[36m26[0m - [1mInference completed. Predicted label: 1[0m
[32m2026-06-12 11:13:10.669[0m | [34m[1mDEBUG [0m | [36m__main__[0m:[36mrun_inference[0m:[36m35[0m - [34m[1mInference took 0.70 ms.[0m
[32m2026-06-12 11:13:10.670[0m | [1mINFO [0m | [36m__main__[0m:[36mpostprocess_results[0m:[36m26[0m - [1mResults post-processed: High Risk (Confidence: 99.04%)[0m
[32m2026-06-12 11:13:10.670[0m | [1mINFO [0m | [36m__main__[0m:[36mprocess_single_inference[0m:[36m28[0m - [1mSuccessfully processed data. Final result: High Risk (Confidence: 99.04%)[0m
[32m2026-06-12 11:13:10.733[0m | [1mINFO [0m | [36m__main__[0m:[36m<cell line: 0>[0m:[36m26[0m - [1mProcessed 500 data points.[0m
[32m2026-06-12 11:13:10.734[0m | [1mINFO [0m | [36m__main__[0m:[36m<cell line: 0>[0m:[36m28[0m - [1mSimulation complete. Gathering final metrics.[0m
import matplotlib.pyplot as plt
import seaborn as sns
# Get and display final metrics
final_metrics = get_pipeline_metrics(pipeline_state)
print("\n--- Final Pipeline Metrics ---")
for k, v in final_metrics.items():
if isinstance(v, dict):
print(f"{k}:")
for sk, sv in v.items():
print(f" {sk}: {sv}")
else:
print(f"{k}: {v:.2f}" if isinstance(v, (int, float)) else f"{k}: {v}")
# --- Visualizations ---
fig, axes = plt.subplots(1, 2, figsize=(18, 6))
fig.suptitle('Real-time Inference Pipeline Performance Analysis', fontsize=16)
# Plot 1: Inference Latency Distribution
latency_data = list(pipeline_state["inference_times"])
if latency_data:
sns.histplot(latency_data, kde=True, ax=axes[0], color='skyblue')
axes[0].set_title('Distribution of Inference Latency (ms)')
axes[0].set_xlabel('Latency (ms)')
axes[0].set_ylabel('Frequency')
axes[0].axvline(final_metrics['avg_latency_ms'], color='red', linestyle='dashed', linewidth=1,
label=f'Avg: {final_metrics["avg_latency_ms"]:.2f} ms')
axes[0].axvline(final_metrics['p99_latency_ms'], color='green', linestyle='dashed', linewidth=1,
label=f'P99: {final_metrics["p99_latency_ms"]:.2f} ms')
axes[0].legend()
else:
axes[0].set_title('No Latency Data Available')
axes[0].text(0.5, 0.5, 'Run simulation first', horizontalalignment='center', verticalalignment='center', transform=axes[0].transAxes)
# Plot 2: Prediction Distribution
prediction_data = list(pipeline_state["predictions"])
if prediction_data:
prediction_counts = pd.Series(prediction_data).value_counts().sort_index()
sns.barplot(x=prediction_counts.index, y=prediction_counts.values, ax=axes[1], palette='viridis')
axes[1].set_title('Distribution of Predictions')
axes[1].set_xlabel('Prediction Label')
axes[1].set_ylabel('Count')
axes[1].set_xticks([0, 1]) # Assuming binary classification
axes[1].set_xticklabels(['Low Risk (0)', 'High Risk (1)'])
else:
axes[1].set_title('No Prediction Data Available')
axes[1].text(0.5, 0.5, 'Run simulation first', horizontalalignment='center', verticalalignment='center', transform=axes[1].transAxes)
plt.tight_layout(rect=[0, 0.03, 1, 0.95]) # Adjust layout to prevent title overlap
plt.show()[32m2026-06-12 11:13:10.829[0m | [1mINFO [0m | [36m__main__[0m:[36mget_pipeline_metrics[0m:[36m40[0m - [1mPipeline metrics calculated: {'avg_latency_ms': np.float64(2.9582763320004233), 'min_latency_ms': np.float64(0.6749540000328125), 'max_latency_ms': np.float64(17.086401000028673), 'p90_latency_ms': np.float64(7.220206900046834), 'p99_latency_ms': np.float64(13.19507190999274), 'prediction_distribution': {'1': 257, '0': 243}, 'total_inferences': 500}[0m
--- Final Pipeline Metrics ---
avg_latency_ms: 2.96
min_latency_ms: 0.67
max_latency_ms: 17.09
p90_latency_ms: 7.22
p99_latency_ms: 13.20
prediction_distribution:
1: 257
0: 243
total_inferences: 500.00
/tmp/ipykernel_3621/394969003.py:41: FutureWarning: Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect. sns.barplot(x=prediction_counts.index, y=prediction_counts.values, ax=axes[1], palette='viridis')
Production Considerations
Deploying a real-time inference pipeline in production requires careful planning beyond just the machine learning model. Here are critical considerations and best practices:
| Aspect | Description |
|---|---|
| Latency Management | Minimize end-to-end delay (data ingestion to prediction output). Optimize model for inference speed (e.g., ONNX, quantization), use efficient data serialization (e.g., Protocol Buffers), and leverage low-latency compute resources (e.g., GPUs, specialized hardware). |
| Throughput & Scaling | Design for high volume of requests. Use asynchronous processing, message queues (e.g., Kafka, RabbitMQ) for decoupling components, and horizontal scaling of inference services (e.g., Kubernetes, serverless functions). Implement load balancing to distribute requests efficiently. |
| Monitoring & Alerting | Implement comprehensive monitoring for system health (CPU, memory, network), model performance (accuracy, drift, latency), and data quality. Set up alerts for anomalies, errors, or SLA breaches. Tools like Prometheus, Grafana, ELK stack are common. |
| Error Handling & Robustness | Implement robust error handling with retries (e.g., exponential backoff) for transient failures, circuit breakers to prevent cascading failures, and graceful degradation strategies. Ensure logging is comprehensive for debugging. Handle invalid inputs or edge cases explicitly. |
| Model Management | Establish a clear strategy for model versioning, deployment, and rollback. Use model registries (e.g., MLflow, Vertex AI Model Registry) to track models and their metadata. Implement A/B testing or canary deployments for new model versions. |
| Data Integrity & Consistency | Ensure data used for inference is consistent with data used for training. Implement data validation at ingestion points. Monitor for data drift, where the characteristics of incoming data change over time, potentially degrading model performance. |
| Security | Secure API endpoints, encrypt data in transit and at rest, manage access control (IAM), and protect against adversarial attacks on the model. |
| Cost Optimization | Optimize infrastructure usage, choose cost-effective compute instances, and scale resources dynamically based on demand to control operational costs. |
Conclusion
This notebook provided a foundational overview and a practical demonstration of building a real-time inference pipeline. We covered:
- Initialization and State Management: Using a state dictionary to maintain pipeline components.
- Model Training and Preparation: Simulating the training and scaling steps necessary for inference.
- Core Inference Loop: Functions for data preprocessing, running the model, and post-processing results.
- Data Stream Simulation: Mimicking real-time data arrival with controlled intervals and jitter.
- Performance Monitoring: Tracking and visualizing key metrics like inference latency and prediction distribution.
- Production Best Practices: Discussing critical considerations for deploying such systems in a production environment.
By carefully designing each component and focusing on low latency, high throughput, robust error handling, and comprehensive monitoring, real-time inference pipelines can unlock significant value in applications requiring immediate, data-driven decisions.