🛡️Anomaly Detection with Isolation Forest
Model Type: Isolation Forest
Contamination: 3%
Total Records: 50000
Anomalies Detected: 1500
📊 Anomaly Detection Plot
Anomaly Plot
📁 Files Included
- model.joblib: Trained model
- scaler.joblib: Preprocessing scaler
- predictions.csv: Raw scores + anomaly labels
- anomaly_plot.png: Visualization of scores
🔍 Top 5 Anomalies (Scores)
| Index | Anomaly Score | Label |
|---|
| 2 | -0.0041 | -1.0 |
| 117 | -0.0040 | -1.0 |
| 180 | -0.0014 | -1.0 |
| 207 | -0.0162 | -1.0 |
| 246 | -0.0041 | -1.0 |
🕓 Generated On: 2025-08-02 07:32:58
✅ Powered by Hugging Face, MongoDB, Scikit-learn