Skip to main content

Table 3 The performance evaluation of the wrapper feature selection methods

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

Classifier Wrapper Specificity Sensitivity F-measure ROC score Dimensionality
SVM SVM 0.761 0.723 0.742 0.786 320
KNN KNN 0.705 0.731 0.718 0.745 300
SVM NULL 0.733 0.72 0.731 0.732 All
KNN NULL 0.637 0.753 0.69 0.723 All
  1. The performance comparison of two classifiers (SVM and kNN) for promoter classification: with the wrapper feature selection (the first two rows) vs. without wrapper feature selection (the last two rows).