Table 3.

The performance evaluation of the wrapper feature selection methods

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

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).