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extrat-tree-classifier

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mansipatel2508 / Network-Intrusion-Detection-with-Feature-Extraction-ML

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The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

feature-selection rfc feature-extraction confusion-matrix roc-curve binary-classification l2-regularization network-intrusion-detection multiclass-classification feature-importance l1-regularization rfe pearson-correlation-coefficient fclassif select-percentile extrat-tree-classifier
  • Updated Aug 10, 2019
  • Jupyter Notebook

shenal00 / network-intrusion-detection-ml

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🚀 Detect network intrusions with this ML-based system using the NSL-KDD dataset. Features include model training, API deployment, and an interactive dashboard.

machine-learning deep-learning jupyter-notebook ids intrusion-detection brute-force gans l2-regularization network-intrusion-detection multiclass-classification feature-importance l1-regularization thesis-project lgbm pearson-correlation-coefficient extrat-tree-classifier cicids2017 cse-cic-ids-2018
  • Updated Sep 10, 2026
  • Jupyter Notebook

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