Table 2.

The AUC, AUPR, Precision, Recall,F1_score and Accuracy of using different features vectors

Feature vector	AUC	AUPR	Precision	Recall	F1_score	Accuracy
Only Similarity	0.9167	0.9145	0.8297	0.8458	0.8376	0.8359
Only Latent Feature	0.9476	0.9437	0.8756	0.8891	0.8822	0.8815
SMALF	0.9503	0.9472	0.8808	0.8931	0.8868	0.8860

Bold values represent relatively good performance