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Performance metrics of ensemble ML models before SMOTE sampling.
| Evaluation Metrics | Random Forest | AdaBoosting | XGboost | Catboost |
|---|---|---|---|---|
| Accuracy | 73.772% | 65.944% | 74.101% | 74.482% |
| Precision | 66.443% | 56.590% | 66.672% | 67.202% |
| Recall | 60.524% | 57.024% | 62.894% | 63.013% |
| F1_score | 62.023% | 56.793% | 64.303% | 64.542% |
| Roc curve | 98.711% | 97.432% | 95.184% | 95.533% |
