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Table 2 The performance evaluation of the feature subsets selected by different filter feature selection methods

From: A comparison study on feature selection of DNA structural properties for promoter prediction

 

IG

CHI

ReliefF

CFS

Peformance

200

300

200

300

200

300

200

300

Specificity

0.759

0.759

0.755

0.76

0.751

0.772

0.733

0.746

Sensitivity

0.704

0.718

0.707

0.704

0.718

0.743

0.727

0.731

F-measure

0.73

0.738

0.73

0.731

0.734

0.757

0.73

0.738

ROC score

0.74

0.745

0.738

0.741

0.74

0.762

0.731

0.741

  1. Based on the feature subsets selected by four filter feature selection methods, we respectively build SVM classifiers and compare the performance of these classifiers.
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BMC Bioinformatics

ISSN: 1471-2105

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