Table 2.

10-fold cross-validation with forty selected features using different machine learning methods on RSC758

	ACC	SN	SP	MCC	AUC
SVM	0.679	0.602	0.756	0.362	0.727
Naive Bayes	0.648	0.450	0.846	0.322	0.713
Random Forest	0.664	0.611	0.718	0.330	0.711
Artificial Neural Network	0.662	0.615	0.708	0.325	0.698

The results are sorted by AUC value