Table 2. Performance of various models on train and test data sets (boot632 re-sampling, 10-fold cross validation repeated 10 times. Values are up to 2 significant points.).

Method	ROC		Accuracy		Sensitivity		Specificity		Precision	F1-score	MCC	Kappa
	Train	Test	Train	Test	Train	Test	Train	Test	Test	Test	Test	Test
GLM	0.82	0.82	0.75	0.75	0.74	0.74	0.76	0.76	0.76	0.75	0.5	0.5
RF	0.92	0.88	0.87	0.8	0.86	0.79	0.88	0.82	0.82	0.8	0.61	0.61
C5.0	0.92	0.88	0.87	0.8	0.86	0.78	0.88	0.83	0.82	0.8	0.61	0.61
SVM	0.9	0.88	0.83	0.81	0.82	0.8	0.84	0.82	0.82	0.81	0.63	0.63
KNN	0.86	0.85	0.79	0.78	0.79	0.77	0.79	0.78	0.78	0.77	0.55	0.55