ML Models | Precision (0, 1) | Recall (0, 1) | F1-Score (0, 1) | Accuracy |
Logistic Regression | 0.69/0.70 | 0.72/0.67 | 0.70/0.69 | 0.70 |
Decision Tree | 0.88/0.85 | 0.84/0.89 | 0.86/0.87 | 0.86 |
Random Forest Classifier | 0.92/0.90 | 0.90/0.92 | 0.91/0.91 | 0.91 |
XGBoost | 0.89/0.91 | 0.91/0.89 | 0.90/0.90 | 0.90 |