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Table 2 Relative gains in classification results

From: HuntMi: an efficient and taxon-specific approach in pre-miRNA identification

Classifier

Threshold

selection (II)

Parameter

selection (III)

Parameter + threshold

selection (IV)

Naïve Bayes

1.11

0.00

1.11

Perceptron

7.70

0.26

7.76

SVM

10.11

1.89

10.29

Random forest

6.95

1.55

9.30

  1. Relative percentage gains in G m obtained by applying parameter and/or threshold selection on different classifiers averaged over all datasets.
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BMC Bioinformatics

ISSN: 1471-2105

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