Table 5.

Performance of binary classifier.

	Sensitivity	Specificity	Accuracy	AUC
LR	0.890 ± 0.062	0.968 ± 0.044	0.913 ± 0.045	0.919 ± 0.051
SVM	0.931 ± 0.055	0.983 ± 0.037	0.947 ± 0.032	0.969 ± 0.021
DT	0.938 ± 0.037	0.904 ± 0.032	0.928 ± 0.033	0.919 ± 0.024
RF	0.951 ± 0.031	1.000 ± 0.000	0.966 ± 0.022	0.972 ± 0.020

Mean ± standard deviation sensitivity, specificity, accuracy, and AUC of 5-fold cross validation for binary class classification using different machine learning methods when tolerance value is 5. LR, logistic regression; SVM, support vector machine; DT, decision tree; RF, random forest.