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Table 1 Performances of triplet-SVM, miPred and miR-KDE in predicting human pre-miRNAs.

From: Using a kernel density estimation based classifier to predict species-specific microRNA precursors

  %SE %SP %ACC %Fm %MCC
Five-fold cross-validation on HU400
   triplet-SVM 86.5% 91.5% 89.0% 88.7% 78.1%
   miPred 87.5% 98.0% 92.8% 92.3% 86.0%
   miR-KDE 90.5% 97.5% 94.0% 93.8% 88.2%
Using HU400 to predict HU216
   triplet-SVM 83.3% 86.1% 84.7% 84.5% 69.5%
   miPred 88.0% 88.0% 88.0% 88.0% 75.9%
   miR-KDE 88.9% 92.6% 90.7% 90.6% 81.5%
  1. The best performance among each dataset is highlighted in bold.