AdaBoost — Glossary

adaboost

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Definition

Adaptive boosting: reweights misclassified samples so each new weak learner focuses on the hardest cases. Simple, effective, but noise-sensitive.

Examples

Sequential stumps for pasture-vs-cropland classification.

Related terms

Gradient Boosting Machine Learning