Table 3. Classifiers’ predictive performance in the testing set.

Classifier	Accuracy	Sensitivity	Specificity	AUROC
LR	0.963	0.999	0.893	0.988
SVM	0.992	0.997	0.878	0.998
DT	0.990	0.998	0.805	0.918
GNB	0.917	0.919	0.878	0.926