Table 11. Classification performance on the original UNSW-NB15 dataset (45 features).
Classifier | Accuracy | Precision | Recall | F1-measure |
---|---|---|---|---|
Random forest | 87.91% | 86.76% | 85.66% | 86.20% |
KNN | 65.71% | 66.61% | 67.25% | 66.92% |
SVM | 73.32% | 71.19% | 69.12% | 70.13% |
Decision tree | 78.39% | 76.21% | 75.43% | 75.81% |
MLP | 77.32% | 78.43% | 77.14% | 77.77% |
Ensemble | 89.91% | 86.82% | 85.78% | 86.29% |