Table 12.

Comparison of prediction performance between our proposed method and other seven methods on new yeast dataset, suppressing representation bias-driven learning

Method	AUROC				AUPRC
	CV	C1	C2	C3	CV	C1	C2	C3
MMI+NMBAC	0.65 ±0.02	0.66 ±0.02	0.60 ±0.02	0.55 ±0.02	0.67 ±0.02	0.68 ±0.02	0.60 ±0.02	0.55 ±0.02
MMI	0.64 ±0.02	0.65 ±0.01	0.60 ±0.02	0.55 ±0.02	0.66 ±0.02	0.68 ±0.01	0.60 ±0.02	0.54 ±0.02
NMBAC	0.63 ±0.02	0.64 ±0.02	0.59 ±0.02	0.54 ±0.03	0.65 ±0.02	0.66 ±0.02	0.59 ±0.02	0.54 ±0.02
M1	0.64 ±0.01	0.64 ±0.01	0.62 ±0.02	0.57 ±0.04	0.65 ±0.01	0.65 ±0.01	0.61 ±0.02	0.56 ±0.03
M2	0.61 ±0.01	0.61 ±0.02	0.62 ±0.02	0.58 ±0.03	0.61 ±0.01	0.61 ±0.02	0.62 ±0.02	0.57 ±0.03
M3	0.54 ±0.01	0.55 ±0.01	0.53 ±0.01	0.50 ±0.01	0.60 ±0.02	0.60 ±0.01	0.56 ±0.03	0.53 ±0.07
M4	0.55 ±0.02	0.55 ±0.02	0.54 ±0.02	0.51 ±0.02	0.53 ±0.02	0.53 ±0.01	0.53 ±0.02	0.51 ±0.02
M5	0.60 ±0.02	0.60 ±0.01	0.55 ±0.02	0.52 ±0.02	0.61 ±0.02	0.61 ±0.01	0.55 ±0.02	0.51 ±0.02
M7	0.55 ±0.02	0.54 ±0.01	0.54 ±0.02	0.53 ±0.03	0.55 ±0.02	0.55 ±0.01	0.54 ±0.02	0.53 ±0.02