Table 3.

Results on the full miRNA-disease datasets.

Method	AUC	AUPR
RLSMDA	0.8475 ± 0.005	0.1157 ± 0.004
HGIMDA	0.7689 ± 0.011	0.1120 ± 0.007
NCPMDA	0.8731 ± 0.007	0.2801 ± 0.011
PBMDA	0.9086 ± 0.004	0.4378 ± 0.016
RKNNMDA	0.7076 ± 0.005	0.3534 ± 0.011
DeepMDA	0.9486* ± 0.002	0.5917* ± 0.014
SAE + ADA	0.9211 ± 0.002	0.4075 ± 0.011
RAW + DNN	0.9368 ± 0.001	0.4933 ± 0.014

The AUC and AUPR scores are listed above. The * indicates the highest AUC/AUPR score. Generally, the three deep learning models performed better than the other five models.