Implement Track Quality BDT Classifier and Verify Algorithmic Robustness via Stress Studies - #10
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Malik-Farouh wants to merge 17 commits into
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Implement Track Quality BDT Classifier and Verify Algorithmic Robustness via Stress Studies#10Malik-Farouh wants to merge 17 commits into
Malik-Farouh wants to merge 17 commits into
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…is/02_factive_nactive_analysis.ipynb
Added detailed documentation about the machine learning investigation and repository architecture for the XGBoost classifier used in the Mu2e experiment.
Updated the README to improve clarity and organization of the perturbation analysis study details.
Updated the README to clarify the purpose and functionality of notebooks in the perturbation analysis directory.
AndrewEdmonds11
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Aug 3, 2026
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Thanks, Malik. This looks good. Just a note to the MLTrain maintainers that #8 should be merged before this one
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Overview
This PR reorganizes the tracking quality verification codebase by cleanly isolating the systematic track feature stress tests and documentation into their own dedicated workspace.
Key Changes
01through04) into a newly isolatedTrkQual/perturbation_analysis/subdirectory to reduce root-level clutter.README.mdfile inside the new subdirectory mapping out a file-by-file walkthrough of the notebooks.