Best Model: Random Forest
Accuracy: 92.3%
Total Events: 650
Model Performance
Best Model
Random Forest
Dataset Size
650
Features
5
Metrics by Model
| Model | Accuracy | Precision | Recall | F1 | ROC-AUC |
|---|---|---|---|---|---|
| Random Forest | 92.31% | 94.85% | 94.85% | 94.85% | 97.84% |
| Gradient Boosting | 90.00% | 92.00% | 94.85% | 93.40% | 97.13% |
| Logistic Regression | 79.23% | 81.25% | 93.81% | 87.08% | 81.26% |
F1 Comparison
Confusion Matrix (Best Model)
| Predicted: Manageable | Predicted: Disruption | |
|---|---|---|
| Actual: Manageable | 28 | 5 |
| Actual: Disruption | 5 | 92 |