Table 3.
Performances of prediction algorithms related to validated interactions in Table 2
| Algorithm | ACC % | PPV % | TPR % | TNR % | FNR % | FPR % | F1 % | MCC |
|---|---|---|---|---|---|---|---|---|
| PITA | 30.8 | 99.8 | 30.5 | 87.2 | 69.5 | 12.5 | 46.7 | 0.02750 |
| MiRanda | 26.7 | 99.5 | 25.8 | 75.0 | 74.1 | 25.0 | 41.0 | 0.00133 |
| MirSOM | 18.7 | 99.8 | 18.3 | 93.7 | 81.6 | 6.2 | 30.9 | 0.02195 |
| DIANA-microT | 5.8 | 100.0 | 5.3 | 100.0 | 94.6 | 0.0 | 10.2 | 0.01676 |
| miRNATIP | 31.2 | 99.9 | 30.9 | 93.7 | 69.0 | 6.2 | 47.3 | 0.03761 |
Statistical measures reported in this table are accuracy (ACC), precision (PPV), sensitivity (TPR), specificity (TNR), miss-rate (FPR), F1-measure (F1) and Matthews correlation (MCC), respectively