Table 11.

Comparison of prediction performance between our proposed method and other seven methods on the human dataset

Method	AUROC				AUPRC
	CV	C1	C2	C3	CV	C1	C2	C3
MMI+NMBAC	0.82 ±0.01	0.82 ±0.01	0.60 ±0.01	0.57 ±0.02	0.83 ±0.01	0.83 ±0.01	0.60 ±0.01	0.56 ±0.02
MMI	0.81 ±0.01	0.81 ±0.01	0.59 ±0.01	0.56 ±0.02	0.82 ±0.01	0.83 ±0.01	0.59 ±0.01	0.55 ±0.01
NMBAC	0.81 ±0.01	0.82 ±0.01	0.60 ±0.01	0.57 ±0.02	0.83 ±0.01	0.83 ±0.01	0.60 ±0.01	0.56 ±0.02
M1	0.81 ±0.01	0.81 ±0.01	0.61 ±0.01	0.58 ±0.03	0.82 ±0.01	0.82 ±0.01	0.60 ±0.01	0.57 ±0.03
M2	0.85 ±0.01	0.85 ±0.01	0.60 ±0.01	0.58 ±0.02	0.85 ±0.00	0.85 ±0.01	0.60 ±0.01	0.56 ±0.02
M3	0.63 ±0.01	0.64 ±0.01	0.55 ±0.01	0.50 ±0.00	0.67 ±0.01	0.67 ±0.01	0.57 ±0.02	0.52 ±0.05
M4	0.77 ±0.01	0.77 ±0.01	0.57 ±0.02	0.53 ±0.02	0.77 ±0.01	0.77 ±0.01	0.56 ±0.01	0.53 ±0.02
M5	0.81 ±0.01	0.81 ±0.01	0.59 ±0.01	0.54 ±0.02	0.82 ±0.01	0.82 ±0.01	0.59 ±0.01	0.54 ±0.02
M6	0.76 ±0.01	0.77 ±0.01	0.64 ±0.01	0.59 ±0.02	0.79 ±0.01	0.79 ±0.01	0.67 ±0.01	0.59 ±0.02
M7	0.56 ±0.01	0.56 ±0.01	0.53 ±0.01	0.54 ±0.02	0.56 ±0.01	0.56 ±0.01	0.53 ±0.01	0.54 ±0.02