Table 3.
Model performance on the external validation set.
Model | AUROC | Sensitivity | Specificity | PPV | NPV | Accuracy | Kappa |
---|---|---|---|---|---|---|---|
LR | 0.674 | 0.7228 | 0.5205 | 0.7814 | 0.4419 | 0.6628 | 0.2314 |
SVM | 0.685 | 0.6634 | 0.6086 | 0.8008 | 0.4325 | 0.6471 | 0.2433 |
RF | 0.698 | 0.6856 | 0.5969 | 0.8014 | 0.4446 | 0.6593 | 0.2571 |
XGBoost | 0.701 | 0.6642 | 0.5793 | 0.7892 | 0.4211 | 0.6390 | 0.2196 |
NB | 0.638 | 0.6221 | 0.5616 | 0.7710 | 0.3852 | 0.6042 | 0.1623 |
DT | 0.607 | 0.6353 | 0.5793 | 0.7817 | 0.4011 | 0.6187 | 0.1901 |
KNN | 0.629 | 0.8812 | 0.2387 | 0.7330 | 0.4586 | 0.6907 | 0.1392 |