Table 3. Performance of various methods on the LEE dataset.

Method	MCC	Accuracy	Sensitivity	Specificity
RFACP	0.674	0.827	0.706	0.948
SVMACP	0.630	0.814	0.775	0.853
AntiCP (Model_2)	0.505	0.752	0.744	0.761
iACP	0.412	0.706	0.697	0.716
AntiCP (Model_1)	0.096	0.527	0.938	0.116

The first column represents the method name. The second, the third, the fourth, and the fifth respectively represent the MCC, accuracy, sensitivity and specificity. Bold font denotes the best result.