TABLE 4.
Further performance of the combination of XGBoost, SVM, and LR on the test set.
| Classifier | Accuracy | Precision | Recall | F1-score |
|---|---|---|---|---|
| SVM | 0.76 | 0.67 | 0.67 | 0.67 |
| LR | 0.76 | 0.70 | 0.76 | 0.72 |
| XGBoost | 0.76 | 0.75 | 0.85 | 0.74 |
| Hard-voting | 0.76 | 0.70 | 0.76 | 0.72 |
| Soft-voting | 0.82 | 0.76 | 0.80 | 0.77 |