Table 2 Performances of triplet-SVM, miPred and miR-KDE in predicting non-human pre-miRNAs.
From: Using a kernel density estimation based classifier to predict species-specific microRNA precursors
| Â | %SE | %SP | %ACC | %Fm | %MCC |
|---|---|---|---|---|---|
triplet-SVM | 91.5% | 88.7% | 90.1% | 90.2% | 80.2% |
miPred | 96.7% | 90.4% | 93.6% | 93.7% | 87.3% |
miR-KDE | 95.8% | 93.5% | 94.7% | 94.7% | 89.3% |
   with miPred's %SP | 97.4% | 90.4% | 93.9% | 94.1% | 88.1% |