extratrees-vs-random-forest-differences

IN premise — entries/2026/06/21/wiki-Random_forest-chunk-1.md

Created 2026-06-21T09:55:51+00:00

ExtraTrees (Extremely Randomized Trees) differs from standard random forests in two ways: (1) each tree is trained on the full dataset without bootstrap sampling, and (2) split cut-points are chosen randomly rather than optimally.