# AdaBoost

> Source: https://sukruyusufkaya.com/en/glossary/adaboost
> Updated: 2026-05-13T20:58:42.904Z
> Type: glossary
> Category: makine-ogrenmesi
**TLDR:** A boosting method that turns weak learners into a strong ensemble by focusing increasingly on hard examples.

<p>AdaBoost is one of the historically most important methods in the boosting family. Each new model focuses more heavily on examples that were misclassified in previous rounds. This allows a sequence of weak learners to become a strong classifier when combined. However, because it can be sensitive to noisy data and outliers, it should be used carefully depending on the structure of the problem.</p>