Table 4.

Comparison of various evaluation criteria based on different classifiers including Naive Bayes, Logistic Regression, Extra Tree and Random Forest under 5-fold Cross-validation.

Classifier	Acc. (%)	Sen. (%)	Spec. (%)	Prec. (%)	MCC (%)	AUC (%)
NB	67.69 ± 2.32	77.47 ± 2.12	57.91 ± 3.01	64.81 ± 2.07	36.07 ± 4.68	75.71 ± 1.55
LR	80.78 ± 0.44	85.16 ± 1.07	76.41 ± 0.34	78.30 ± 0.19	61.81 ± 0.94	87.39 ± 0.28
ET	91.77 ± 0.17	91.05 ± 0.22	92.50 ± 0.13	92.39 ± 0.14	83.56 ± 0.34	96.13 ± 0.04
RF	91.47 ± 0.22	90.96 ± 0.32	91.98 ± 0.25	91.90 ± 0.24	82.94 ± 0.44	96.47 ± 0.13