Algorithm | Accuracy | Specificity | Precision | Recall | F-measure | AUC |
---|---|---|---|---|---|---|
LR | 0.901 | 0.970 | 0.685 | 0.459 | 0.623 | 0.912 |
CT | 0.899 | 0.966 | 0.647 | 0.438 | 0.603 | 0.856 |
JRip | 0.899 | 0.962 | 0.638 | 0.462 | 0.624 | 0.730 |
BN | 0.894 | 0.955 | 0.603 | 0.469 | 0.630 | 0.915 |
NN | 0.889 | 0.952 | 0.576 | 0.451 | 0.612 | 0.890 |
SMO | 0.901 | 0.978 | 0.710 | 0.366 | 0.533 | 0.672 |
ADABOOST | 0.892 | 0.971 | 0.630 | 0.337 | 0.500 | 0.891 |
BAGGING | 0.902 | 0.968 | 0.668 | 0.444 | 0.609 | 0.910 |
RFOREST | 0.901 | 0.964 | 0.650 | 0.460 | 0.623 | 0.905 |