Table 3.

Prediction performance using percentage split

Model	Training				Test
	AUC	Acc.	Sens.	Spec.	AUC	Acc.	Sens.	Spec.
SVM	0.783	0.708	0.787	0.664	0.839	0.795	0.933	0.724
LR	0.749	0.679	0.703	0.660	0.802	0.727	0.813	0.679
ANN	0.875	0.762	0.756	0.768	0.777	0.682	0.682	0.682
DT	0.719	0.685	0.660	0.718	0.768	0.727	0.708	0.750

AUC, accuracy, sensitivity, and specificity of different machine learning algorithms using training (i.e., 80%) and test (i.e., 20%) data sets are evaluated

^aBest evaluation measures in test set are underlined