Table 10 Results on P-dataset without feature selection algorithm
From: Network intrusion detection using data dimensions reduction techniques
P-Dataset Without Feature Selection | ||||
|---|---|---|---|---|
Binary Class | ||||
Classifiers | Accuracy | False positive | Recall | Precision |
Random Forest | 86.38 | 0.249 | 0.864 | 0.86 |
ANN | 88.15 | 0.27 | 0.882 | 0.87 |
KNN | 89.22 | 0.26 | 0.89 | 0.871 |
SVM | 88.29 | 0.256 | 0.882 | 0.871 |