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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

Arghya Choudhury, Arpita Mondal, Subhadeep Sarkar

2024The European Physical Journal Special Topics56 citationsDOI

Topics & Concepts

Random forestAdaBoostDecision treeMachine learningArtificial intelligenceComputer scienceAlgorithmAlternating decision treeTree (set theory)Ensemble learningDecision tree learningMathematicsSupport vector machineIncremental decision treeMathematical analysisParticle physics theoretical and experimental studiesDistributed and Parallel Computing SystemsParticle Detector Development and Performance
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 | Litcius