Table 2.

Performances of various methods on the independent data set.

Methods	Features	MCC	Accuracy	Sensitivity	Specificity	AUC
ERT	190	0.646	0.823	0.807	0.839	0.813
RF	241	0.472	0.726	0.871	0.581	0.777
GB	161	0.331	0.661	0.774	0.548	0.700
AB	167	0.324	0.661	0.613	0.710	0.675
HBPred	73	0.196	0.597	0.677	0.516	0.600

The first column represents the method name as used in this study. The second column represents the number of features present in the optimal feature set. The third, fourth, fifth, sixth and seventh columns, respectively, represent the MCC, accuracy, sensitivity, specificity, and AUC.