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Table 22 Results of CFS method and proposed method on proposed dataset

From: Network intrusion detection using data dimensions reduction techniques

Classifiers

P- Dataset Binary Class

With CFS Method

With Proposed Method

Accuracy

False positive

Recall

Precision

Accuracy

False positive

Recall

Precision

Random Forest

87.29

0.458

87.29

88.35

95.95

0.011

95.95

96.89

ANN

96.01

0.053

96.01

97

99.92

0.029

99.93

99.99

KNN

96.32

0.089

96.32

97.45

98.84

0.025

98.85

99.87

SVM

95.87

0.091

95.88

96.88

98.99

0.014

98.99

99.99