Impact of data balancing and feature selection on machine learning based network intrusion detection
Unbalanced datasets are a common problem in supervised machine learning. It leads to a deeper understanding of the majority of classes in machine learning. Therefore, the machine learning model is more effective at recognizing the majority classes than the minority classes. Naturally, imbalanced da...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Information Technology Department, Politeknik Negeri Padang
2023
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Online Access: | http://eprints.utem.edu.my/id/eprint/27751/2/0101729052023.pdf http://eprints.utem.edu.my/id/eprint/27751/ https://joiv.org/index.php/joiv/article/view/1041/0 http://dx.doi.org/10.30630/joiv.7.1.1041 |
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