| Metric | Class 0 | Class 1 | Comments |
| Precision | 0.99 | 0.98 | Demonstrate the model’s exactness in positive predictions. |
| Recall | 0.98 | 0.99 | Measure the model’s success at capturing all positive samples. |
| F1 Score | 0.98 | 0.98 | Shows a harmonious balance of precision and recall. |