Table 14 Results of applying proposed feature selection method on NSL dataset
From: Network intrusion detection using data dimensions reduction techniques
NSL Dataset with proposed feature selection on Binary Class | ||||
|---|---|---|---|---|
Classifiers | Accuracy | False positive | Recall | Precision |
Random Forest | 95.85 | 0.511 | 0.962 | 0.97 |
ANN | 95.39 | 0.348 | 0.951 | 0.968 |
KNN | 95.39 | 0.302 | 0.963 | 0.971 |
SVM | 96.89 | 0.335 | 0.974 | 0.975 |