https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap

https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap

artificial-intelligence explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml google-colab intrusion-detection jupyter-notebook machine-learning modified-tree-shap python3 random-forest-classifier shap-values shapley-value tree-shap unsw-nb15

Last synced: 1 day ago
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• Host: GitHub
• URL: https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap
• Owner: Pranav2092
• License: mit
• Created: 2024-10-30T11:03:22.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-11-13T14:35:46.000Z (3 months ago)
• Last Synced: 2024-12-19T14:49:21.569Z (about 2 months ago)
• Topics: artificial-intelligence, explainable-ai, explainable-artificial-intelligence, explainable-machine-learning, explainable-ml, google-colab, intrusion-detection, jupyter-notebook, machine-learning, modified-tree-shap, python3, random-forest-classifier, shap-values, shapley-value, tree-shap, unsw-nb15
• Language: Jupyter Notebook
• Homepage: https://colab.research.google.com/drive/1yCBkoGkoMypIp78ICiwQuX45dEovsZMU?usp=sharing
• Size: 118 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Intrusion-Detection-Using-Modified-Tree-SHAP

## How to use?

  1. Copy the code from the colab link.

  2. Save the dataset in the your drive.

  3. run the project in google colab.