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How does boosting (e.g., AdaBoost, Gradient Boosting) differ from bagging (Rando...

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How does boosting (e.g., AdaBoost, Gradient Boosting) differ from bagging (Random Forest)?

Boosting builds trees sequentially, each focusing on previous errors

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Boosting trains all trees independently on different bootstrap samples

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Boosting typically uses shallow trees (weak learners) while bagging uses deep trees

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Boosting uses the same training data for all trees without modification

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