SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

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