AI Glossary

Gradient Boosting

Coverage in development

Gradient boosting builds an ensemble by sequentially adding models that correct residual errors of the current ensemble under a loss function.

Definition

Gradient boosting builds an ensemble by sequentially adding models that correct residual errors of the current ensemble under a loss function.

Each new tree focuses on what the previous trees still get wrong.

Ensemble Learning XGBoost

2026-07-13

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