Table 4.
Model | Accuracy | Precision | Recall | F1 score | ROC-AUC |
---|---|---|---|---|---|
ML ensemble | 88.70 | 88.02 | 88.02 | 88.01 | 93 |
Stacked classifier | 86.49 | 87.32 | 86.02 | 86.01 | 99 |
Model | Accuracy | Precision | Recall | F1 score | ROC-AUC |
---|---|---|---|---|---|
ML ensemble | 88.70 | 88.02 | 88.02 | 88.01 | 93 |
Stacked classifier | 86.49 | 87.32 | 86.02 | 86.01 | 99 |