Table 3 Performances of miPred and miR-KDE for the NH3350 dataset in terms of genus.
From: Using a kernel density estimation based classifier to predict species-specific microRNA precursors
| Â | %SE | %SP | %ACC | %Fm | %MCC |
|---|---|---|---|---|---|
Vertebrata | |||||
   miPred | 95.3% | 88.8% | 92.1% | 92.3% | 84.3% |
   miR-KDE | 93.4% | 92.8% | 93.1% | 93.2% | 86.3% |
with miPred's %SP | 96.1% | 88.8% | 92.5% | 92.7% | 85.2% |
Arthropoda | |||||
   miPred | 98.8% | 89.0% | 93.9% | 94.2% | 88.2% |
   miR-KDE | 100.0% | 92.0% | 96.0% | 96.2% | 92.3% |
Viridiplantae | |||||
   miPred | 98.2% | 93.6% | 95.9% | 96.0% | 91.9% |
   miR-KDE | 98.4% | 95.0% | 96.7% | 96.8% | 93.4% |
Nematoda | |||||
   miPred | 97.2% | 90.4% | 93.8% | 94.0% | 87.8% |
   miR-KDE | 97.2% | 92.7% | 94.9% | 95.0% | 89.9% |
Viruses | |||||
   miPred | 97.2% | 93.1% | 95.1% | 95.2% | 90.4% |
   miR-KDE | 94.4% | 97.2% | 95.8% | 95.8% | 91.7% |
with miPred's %SP | 98.6% | 93.1% | 95.8% | 95.9% | 91.8% |
Overall | |||||
   miPred | 97.3% ± 1.3% | 91.0% ± 2.3% | 94.1% ± 1.5% | 94.3% ± 1.4% | 88.5% ± 2.9% |
   miR-KDE | 96.7% ± 2.7% | 93.9% ± 2.1% | 95.3% ± 1.4% | 95.4% ± 1.4% | 90.7% ± 2.8% |
with miPred's %SP | 98.1% ± 1.5% | 92.3% ± 2.2% | 95.2% ± 1.6% | 95.3% ± 1.6% | 90.5% ± 3.3% |