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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