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The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using GlassResistive Plate Chambers as a sensitive medium is the first technologicalprototype of a family of high-granularity calorimeters developed by the CALICEcollaboration to equip the experiments of future leptonic colliders. It wasexposed to beams of hadrons, electrons and muons several times in the CERN PSand SPS beamlines between 2012 and 2018. We present here a new method ofparticle identification within the SDHCAL using the Boosted Decision Trees(BDT) method applied to the data collected in 2015. The performance of themethod is tested first with Geant4-based simulated events and then on the datacollected by the SDHCAL in the energy range between 10 and 80~GeV with 10~GeVenergy steps. The BDT method is then used to reject the electrons and muonsthat contaminate the SPS hadron beams.

Particle Identification Using Boosted Decision Trees in the Semi-Digital Hadronic Calorimeter Prototype