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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.
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BMC Bioinformatics

ISSN: 1471-2105

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