Table 1

All three classifiers' accuracy and rate performance on the training set.

Classifier

Precision

F-Measure

MCC

auPRC

TP Rate

FP Rate

Kappa statistics

NB (Naive Bayes)

0.78

0.77

0.559

0.76

0.77

0.22

0.55

J48

0.7

0.69

0.39

0.64

0.69

0.30

0.38

SMO

0.81

0.80

0.62

0.75

0.80

0.19

0.61

  • NB: Naive Bayes, SMO: sequential minimal optimization, MCC: Matthews correlation coefficient, auPRC: area under the precision-recall curve, TP: true positive, FP: false positive.