# Random Forest

> Source: https://sukruyusufkaya.com/en/glossary/random-forest
> Updated: 2026-05-13T20:00:55.923Z
> Type: glossary
> Category: makine-ogrenmesi
**TLDR:** An ensemble learning method that combines the outputs of multiple decision trees to make more robust predictions.

<p>Random Forest leverages the diversity of decision trees to produce more stable and generalizable results than a single tree. Through a bagging strategy, many trees are trained on different samples and random subsets of features. This can reduce overfitting and yield a strong general-purpose model. It also provides approximate feature importance, which offers an additional interpretability benefit.</p>