Table 3.

Comparison with other machine learning methods on the training dataset with 10-fold cross-validation.

Method	ACC	SPE	PRE	SEN	F1	MCC
RF	0.700	0.827	0.695	0.528	0.597	0.377
SVM	0.702	0.789	0.674	0.587	0.621	0.388
GTB	0.761	0.800	0.717	0.709	0.709	0.510
MLP	0.648	0.655	0.603	0.640	0.600	0.306
PredHS2	0.818	0.844	0.786	0.783	0.782	0.630