RLHF training update v1.1

v1.1/README.md

@@ -0,0 +1,71 @@
+---
+license: mit
+tags:
+- driver-behavior
+- obd-data
+- xgboost
+- rlhf
+- reinforcement-learning
+---
+
+# Driver Behavior Classification Model (RLHF v1.1)
+
+This model classifies driver behavior based on OBD (On-Board Diagnostics) sensor data using XGBoost.
+
+## Model Information
+
+- **Model Type**: xgboost_classifier
+- **Version**: 1.1
+- **Created**: 2025-10-01T06:26:14.198564
+- **Framework**: xgboost
+- **Task**: driver_behavior_classification
+
+## Performance Metrics
+
+- **accuracy**: 0.8814
+- **cv_mean**: 0.5067
+- **cv_std**: 0.1100
+- **cv_scores**: [0.35789473684210527, 0.4842105263157895, 0.5425531914893617, 0.4574468085106383, 0.6914893617021277]
+
+## Training Data
+
+- **Datasets Used**: 2
+- **Total Samples**: 472
+- **Training Date**: 2025-10-01T06:26:14.198509
+
+## Labels
+
+The model predicts one of the following driver behavior categories:
+- aggressive
+- normal
+- conservative
+
+## Usage
+
+```python
+import joblib
+import pandas as pd
+
+# Load the model
+model = joblib.load('xgb_drivestyle_ul.pkl')
+label_encoder = joblib.load('label_encoder_ul.pkl')
+scaler = joblib.load('scaler_ul.pkl')
+
+# Prepare your OBD data
+# (Ensure features match the training data format)
+
+# Make predictions
+predictions = model.predict(scaled_data)
+behavior_labels = label_encoder.inverse_transform(predictions)
+```
+
+## Files
+
+- `xgb_drivestyle_ul.pkl`: Main XGBoost model
+- `label_encoder_ul.pkl`: Label encoder for behavior categories
+- `scaler_ul.pkl`: Feature scaler
+- `metadata.json`: Model metadata and performance metrics
+
+## RLHF Training
+
+This model was trained using Reinforcement Learning from Human Feedback (RLHF) to improve performance based on human-labeled data and feedback.

v1.1/label_encoder_ul.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e510340f497abdf3b0da0f87274d35dae07c592c5a5051ed67fd3eac7b8e4f19
+size 534

v1.1/metadata.json

@@ -0,0 +1,40 @@
+{
+  "model_type": "xgboost_classifier",
+  "version": "1.1",
+  "created_at": "2025-10-01T06:26:14.198564",
+  "training_data": {
+    "datasets": [
+      "labeled/001_processed-004_2025-10-01-labelled.csv",
+      "labeled/002_processed-002_2025-10-01-labelled.csv"
+    ],
+    "total_samples": 472,
+    "training_date": "2025-10-01T06:26:14.198509",
+    "features_count": 95
+  },
+  "performance_metrics": {
+    "accuracy": 0.8813559322033898,
+    "cv_mean": 0.5067189249720044,
+    "cv_std": 0.110006561067466,
+    "cv_scores": [
+      0.35789473684210527,
+      0.4842105263157895,
+      0.5425531914893617,
+      0.4574468085106383,
+      0.6914893617021277
+    ]
+  },
+  "framework": "xgboost",
+  "task": "driver_behavior_classification",
+  "labels": [
+    "aggressive",
+    "normal",
+    "conservative"
+  ],
+  "features": "obd_sensor_data",
+  "rlhf_metadata": {
+    "labeled_samples": 472,
+    "original_samples": 0,
+    "model_confidence": 0.0,
+    "datasets_processed": 2
+  }
+}

v1.1/scaler_ul.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a9cf55feb20e9616ded2a1e778a3efc2976a88e1b3d3f2924546cc7f6cca11c
+size 2879

v1.1/xgb_drivestyle_ul.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1959949e16e1a68b761c2da1fa46e7decac5f5ad2c5908bf080923733179b3d
+size 1993173