Table 13 Results on NSL dataset without feature selection algorithm
From: Network intrusion detection using data dimensions reduction techniques
NSL Dataset Without Feature Selection Binary Class | ||||
|---|---|---|---|---|
Classifiers | Accuracy | False positive | Recall | Precision |
Random Forest | 80.21 | 0.815 | 0.802 | 0.801 |
ANN | 83.45 | 0.789 | 0.831 | 0.832 |
KNN | 82.98 | 0.799 | 0.83 | 0.829 |
SVM | 83.35 | 0.759 | 0.833 | 0.83 |