Table 3 The result of a repeated 10-fold cross-validation experiment using naive Bayes, support vector machine (SVM), and C4.5 decision tree without feature selection.

Naïve Bayes

0.60 ± 0.17

0.64 ± 0.20

0.52 ± 0.21

42

SVM with linear kernel

0.55 ± 0.14

0.55 ± 0.21

0.56 ± 0.21

42

SVM with polynomial kernel

0.59 ± 0.13

0.46 ± 0.24

0.71 ± 0.21

42

SVM with sigmoid kernel

0.61 ± 0.13

0.62 ± 0.20

0.61 ± 0.19

42

SVM with Gaussian radial basis function kernel

0.62 ± 0.13

0.60 ± 0.20

0.64 ± 0.19

42

C4.5 decision tree

0.50 ± 0.16

0.52 ± 0.21

0.48 ± 0.21

11