Table 3.
The precision of each classifier combined with the SMOTE.
Type\Classifier | J48 | LibSVM | NaiveBayes | Bagging | AdaboostM1 | RandomForest |
---|---|---|---|---|---|---|
Normal | 0.725 | 0.562 | 0.809 | 0.759 | 0.682 | 0.728 |
Probing | 0.904 | 0.697 | 0.086 | 0.453 | 0.000 | 0.901 |
DoS | 0.998 | 0.997 | 0.886 | 0.994 | 0.984 | 0.999 |
U2R | 0.375 | 0.000 | 0.044 | 0.200 | 0.000 | 0.333 |
R2L | 0.941 | 0.000 | 0.717 | 0.944 | 0.000 | 0.981 |