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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.