Random forest classifier

A supervised machine-learning ensemble model that builds multiple decision trees from randomly sampled subsets of training data and features, then aggregates their outputs by majority vote. Used in OSAC-validated ML tools for ASTM E1618 class assignment in fire debris GC-MS chromatograms.