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Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Repository stars
602All-time #20,987
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162
Last push
updated 7 months ago
Repository created
since 2021
Apps & systemsDeveloper toolsJupyter NotebookMIT · Permissive
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Summarised by AI from the README; the original prevails

Author description: Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Basic listing based on official public information; functionality has not been independently evaluated.

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Star trend

Includes values estimated from GitHub history
59559860110-0710-1210-1710-2210-2711-0111-05
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 11:02 UTC602Source
2026-11-02 19:02 UTC601Source

First collected 2026-11-03Measured at 2026-11-06 11:02 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.