boosting-reduces-bias-bagging-reduces-variance

OUT premise — entries/2026/06/21/wiki-BiasE28093variance_tradeoff-chunk-3.md

Created 2026-06-21T09:55:49+00:00

In ensemble methods, boosting combines high-bias (weak) learners to reduce bias, while bagging combines strong learners to reduce variance.