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Machine Learning
Boosting

Boosting

[ˈbustɪŋ]
New Machine Learning
Last updated: 2026-06-05

Definition

An ensemble method that sequentially improves weak learners.

Detailed Explanation

Boosting combines weak learners sequentially each focusing on correcting the errors of the previous one. This results in a strong learner with improved accuracy and reduced bias.

Use Cases

Gradient Boosting Machines AdaBoost XGBoost handling complex datasets improving model performance.

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