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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

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Bibliographic Details
Main Authors:	Choudhury, Arghya, Mondal, Arpita, Sarkar, Subhadeep
Format:	Preprint
Published:	2024
Subjects:	High Energy Physics - Phenomenology High Energy Physics - Experiment Computational Physics
Online Access:	Acceder al recurso
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