Table 2.
Results on the SM F miRNA datasets.
| Method | AUC | AUPR |
|---|---|---|
| RLSMDA | 0.8325 ± 0.007 | 0.2457 ± 0.008 |
| HGIMDA | 0.7169 ± 0.005 | 0.1182 ± 0.004 |
| NCPMDA | 0.8849 ± 0.006 | 0.3473 ± 0.010 |
| PBMDA | 0.8925 ± 0.005 | 0.4867 ± 0.014 |
| RKNNMDA | 0.7044 ± 0.004 | 0.3365 ± 0.013 |
| DeepMDA | 0.9270* ± 0.005 | 0.5853* ± 0.031 |
| SAE + ADA | 0.8982 ± 0.005 | 0.4376 ± 0.024 |
| RAW + DNN | 0.9153 ± 0.004 | 0.5293 ± 0.026 |
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.