Table 2 Model performance on the internal validation set.
Model | AUROC | Sensitivity | Specificity | PPV | NPV | Accuracy | Kappa |
|---|---|---|---|---|---|---|---|
LR | 0.758 | 0.8544 | 0.5058 | 0.7449 | 0.6729 | 0.7248 | 0.3795 |
SVM | 0.780 | 0.8537 | 0.5463 | 0.7607 | 0.6886 | 0.7394 | 0.4176 |
RF | 0.791 | 0.8530 | 0.5567 | 0.7647 | 0.6915 | 0.7428 | 0.4267 |
XGBoost | 0.793 | 0.8515 | 0.5684 | 0.7692 | 0.6939 | 0.7462 | 0.4360 |
NB | 0.710 | 0.8145 | 0.4476 | 0.7135 | 0.5882 | 0.6781 | 0.2755 |
DT | 0.692 | 0.8004 | 0.5616 | 0.7551 | 0.6248 | 0.7116 | 0.3696 |
KNN | 0.707 | 0.9220 | 0.2857 | 0.6856 | 0.6843 | 0.6854 | 0.2357 |