Table 12 Classification accuracy and number of features selected with five classifiers and six feature selection algorithms

KNN

Original

0.781/01

0.785/41

0.716/10

0.776/05

0.795/05

0.767/15

Modified

0.775/10

0.755/23

0.713/05

0.793/15

0.770/10

0.748/15

SVM

Original

0.801/01

0.796/41

0.799/10

0.805/15

0.797/05

0.800/10

Modified

0.812/11

0.820/23

0.798/10

0.823/15

0.802/30

0.809/20

NB

Original

0.793/01

0.777/41

0.790/20

0.776/05

0.763/05

0.805/15

Modified

0.819/12

0.754/23

0.813/05

0.813/05

0.788/10

0.786/20

RF

Original

0.783/01

0.791/41

0.808/30

0.806/20

0.825/15

0.830/15

Modified

0.843/12

0.820/23

0.823/30

0.851/05

0.801/15

0.819/20

NN

Original

0.795/01

NA

0.771/30

0.791/05

0.771/15

0.782/10

Modified

0.744/11

0.734/23

0.759/25

0.764/15

0.765/05

0.771/30