Table 3 Evaluation Metrics for the Tuned Models
Algorithms | AUC-ROC | Precision | Recall | F | Brier Score |
|---|---|---|---|---|---|
LR | 0.7251082 | 0.4000000 | 0.3333333 | 0.3636364 | 0.07386198 |
NB | 0.755411↑ | 0.2500000↑ | 0.1666667 | 0.2000000 | 0.0916961↑ |
ANN | 0.7489171 | 0.4285714 | 0.5000000 | 0.4615385 | 0.0629928↑ |
RF | 0.821428↑ | 1.0000000↑ | 0.3333333 | 0.5000000↑ | 0.0528066↑ |
TBAG | 0.837662↑ | 0.3333333↑ | 0.500000↑ | 0.4000000↑ | 0.0694168↑ |
SGB | 0.767316↑ | 0.5000000↑ | 0.500000↑ | 0.5000000↑ | 0.0547609↑ |