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Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks

Crossref DOI link: https://doi.org/10.1140/epjs/s11734-024-01308-x

Published Online: 2024-09-26

Published Print: 2024-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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