Table 4.

The performance comparison of four methods on three datasets under CV3.

Datasets	Methods	Sensitivity	Specificity	F1 score	Accuracy	AUC
Dataset 1	NGRHMDA	0.5783	0.5567	0.0615	0.5572	0.6459
	SMiR-NBI	0.8331	0.1936	0.0385	0.2079	0.5723
	LRLSHMDA	0.8034	0.5813	0.1119	0.5863	0.8403
	VDA-RWR	0.4824	0.7831	0.1153	0.8278	0.8582
Dataset 2	NGRHMDA	0.4544	0.3562	0.0218	0.3581	0.3011
	SMiR-NBI	0.8349	0.0942	0.0336	0.1080	0.4156
	LRLSHMDA	0.7838	0.4840	0.0733	0.4896	0.8248
	VDA-RWR	0.5022	0.6643	0.0574	0.6613	0.6675
Dataset 3	NGRHMDA	0.3582	0.4081	0.0119	0.4074	0.2554
	SMiR-NBI	0.9230	0.0427	0.0230	0.0536	0.4365
	LRLSHMDA	0.8124	0.5239	0.0552	0.5275	0.8169
	VDA-RWR	0.5053	0.7057	0.0556	0.7032	0.7123

Bold values indicates the best values for the different methods under the same evaluation.