Table 2.

Results of RLS-KF based on 10 trails of 10-fold cross-validation for predicting the four benchmark datasets.

Datasets	Aggregation function	AUPR	AUC
Enzymes	Max	0.892 ± 0.011	0.990 ± 0.001
	Average	0.915 ± 0.007	0.990 ± 0.001
IC	Max	0.901 ± 0.006	0.987 ± 0.001
	average	0.925 ± 0.005	0.989 ± 0.001
GPCR	Max	0.806 ± 0.010	0.981 ± 0.001
	average	0.853 ± 0.006	0.984 ± 0.001
NR	Max	0.911 ± 0.011	0.987 ± 0.002
	average	0.909 ± 0.013	0.987 ± 0.002