Skip to main content

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

  %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%
  1. The best performance among each dataset is highlighted in bold.