Table 3.

Comparison of open-source algorithms based on MPR, AUC and AUPR for the benchmark data set

Data	Method	MPR (mean ± SE)	AUC (mean ± SE)	AUPR (mean ± SE)
Enzyme	BLM	0.119 ± 0.002	0.923 ± 0.003	0.750 ± 0.003
	KronRLSMKL	0.047 ± 0.001	0.993 ± 0.000	0.963 ± 0.001
	DTHybrid	0.053 ± 0.002	0.986 ± 0.001	0.939 ± 0.001
	SCMLKNN	0.076 ± 0.002	0.986 ± 0.000	0.839 ± 0.002
	DNILMF	0.033 ± 0.001	0.996 ± 0.000	0.951 ± 0.001
IC	BLM	0.169 ± 0.003	0.899 ± 0.002	0.684 ± 0.009
	KronRLSMKL	0.088 ± 0.002	0.990 ± 0.001	0.953 ± 0.003
	DTHybrid	0.090 ± 0.002	0.989 ± 0.002	0.918 ± 0.002
	SCMLKNN	0.109 ± 0.003	0.975 ± 0.000	0.823 ± 0.004
	DNILMF	0.068 ± 0.001	0.996 ± 0.000	0.947 ± 0.002
GPCR	BLM	0.266 ± 0.006	0.752 ± 0.010	0.326 ± 0.009
	KronRLSMKL	0.079 ± 0.001	0.987 ± 0.003	0.833 ± 0.005
	DTHybrid	0.080 ± 0.002	0.969 ± 0.002	0.768 ± 0.014
	SCMLKNN	0.086 ± 0.005	0.968 ± 0.003	0.650 ± 0.011
	DNILMF	0.056 ± 0.001	0.987 ± 0.001	0.826 ± 0.008
NR	BLM	0.349 ± 0.020	0.777 ± 0.050	0.211 ± 0.091
	KronRLSMKL	0.254 ± 0.006	0.979 ± 0.001	0.613 ± 0.060
	DTHybrid	0.257 ± 0.005	0.917 ± 0.003	0.566 ± 0.087
	SCMLKNN	0.135 ± 0.016	0.951 ± 0.002	0.342 ± 0.009
	DNILMF	0.205 ± 0.005	0.952 ± 0.011	0.605 ± 0.063
kd	BLM	0.320 ± 0.003	0.755 ± 0.009	0.233 ± 0.015
	KronRLSMKL	0.166 ± 0.003	0.817 ± 0.004	0.200 ± 0.002
	DTHybrid	0.126 ± 0.002	0.957 ± 0.001	0.686 ± 0.004
	SCMLKNN	0.181 ± 0.005	0.908 ± 0.002	0.526 ± 0.008
	DNILMF	0.122 ± 0.002	0.966 ± 0.001	0.721 ± 0.004