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Performance metrics of ensemble ML models after SMOTE sampling.
| Evaluation Metrics | Random Forest | AdaBoosting | XGboost | Catboost |
|---|---|---|---|---|
| Accuracy | 97.985% | 94.925% | 97.627% | 97.119% |
| Precision | 97.986% | 95.054% | 97.625% | 97.119% |
| Recall | 97.985% | 94.925% | 97.627% | 97.119% |
| F1_score | 97.954% | 94.946% | 97.626% | 97.119% |
| Roc curve | 99.995% | 99.673% | 99.984% | 99.977% |
| Cross validation | 99.998% | 99.900% | 98.410% | 97.200% |
