Table 2.
Model evaluation for the Dataset I.
Method | Accuracy | Precision | Recall | F1-Score | AUC of ROC |
---|---|---|---|---|---|
Gradient Boosting | 0.96 | 0.93 | 0.96 | 0.98 | 0.94 |
Random forest | 0.92 | 0.89 | 0.93 | 0.94 | 0.91 |
Model evaluation for the Dataset I.
Method | Accuracy | Precision | Recall | F1-Score | AUC of ROC |
---|---|---|---|---|---|
Gradient Boosting | 0.96 | 0.93 | 0.96 | 0.98 | 0.94 |
Random forest | 0.92 | 0.89 | 0.93 | 0.94 | 0.91 |