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Table 3 Results of classifier ensembles with different aggregation methods

From: MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features

Method SE(%) SP(%) Gm(%) Acc(%)
majority vote(k=3) 97.23 92.10 94.63 92.70
majority vote(k=8) 97.91 91.08 94.44 91.89
mean distance(k=3) 93.05 96.50 94.76 96.10
mean distance(k=4) 90.55 97.79 94.10 97.91
  1. For each aggregation method, only the best two results are presented.