Table 11 Results of proposed feature selection on P- dataset
From: Network intrusion detection using data dimensions reduction techniques
P-Dataset with Proposed Feature Selection on Binary Class | ||||
|---|---|---|---|---|
Classifiers | Accuracy | False positive | Recall | Precision |
Random Forest | 99.45 | 0.024 | 0.99 | 0.991 |
ANN | 99.92 | 0.011 | 0.994 | 0.994 |
KNN | 98.84 | 0.015 | 0.998 | 0.998 |
SVM | 98.99 | 0.029 | 0.98 | 0.981 |