Table 5.

The results of tenfold CV for models’ performance metrics on full features and selected features

	SVM (RBF)		XGBoost		SVM (Linear)		RF		MLP
	Full features	Selected features	Full features	Selected features	Full features	Selected features	Full features	Selected features	Full features	Selected features
Accuracy	0.624	0.817	0.652	0.8341	0.593	0.7807	0.622	0.814	0.590	0.7016
Specificity	0.619	0.7985	0.637	0.859	0.578	0.731	0.594	0.7733	0.591	0.7182
Sensitivity	0.611	0.8024	0.668	0.837	0.573	0.8117	0.627	0.801	0.586	0.708
AUC	0.584	0.7995	0.651	0.849	0.584	0.792	0.631	0.798	0.572	0.7051
H-Score	0.617	0.7925	0.653	0.832	0.580	0.7817	0.6287	0.7931	0.594	0.712