Table 2 Classification performance comparison across ML models.
Model | AUC | ACC | Precision | Recall | F1-Score |
---|---|---|---|---|---|
XGBoost | 0.8446 | 0.7697 | 0.7664 | 0.8475 | 0.8049 |
RF | 0.8277 | 0.7534 | 0.7521 | 0.8357 | 0.7917 |
LightGBM | 0.8155 | 0.7392 | 0.7405 | 0.8236 | 0.7798 |
Model | AUC | ACC | Precision | Recall | F1-Score |
---|---|---|---|---|---|
XGBoost | 0.8446 | 0.7697 | 0.7664 | 0.8475 | 0.8049 |
RF | 0.8277 | 0.7534 | 0.7521 | 0.8357 | 0.7917 |
LightGBM | 0.8155 | 0.7392 | 0.7405 | 0.8236 | 0.7798 |