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Table 1 Comparative analysis with respect to optimal choice of the machine learning model

From: A novel feature extraction methodology using Siamese convolutional neural networks for intrusion detection

Exp.

Feature Extraction

Classification model

Training (%)

Testing (%)

1.

Fuzz-Vec2im -Siam

Naïve Bayes

98.52

86.17

2.

Fuzz-Vec2im -Siam

AdaBoost

98.43

86.64

3.

Fuzz-Vec2im -Siam

Random Forest

98.48

86.40

4.

Fuzz-Vec2im -Siam

SVM

98.53

86.01

5.

Fuzz-Vec2im -Siam

kNN - 1

100

84.29

6.

Fuzz-Vec2im -Siam

Decision Trees

99.5

84.31

7.

Fuzz-Vec2im -Siam

Linear Discriminant

98.69

85.38