subtopic

AdaBoost (classifier | regressor)

10 min applied20 min research2 curated resources

Fit AdaBoost with decision stumps; plot staged scores vs number of estimators. Concepts: Sequential reweighting of hard examples; weak learners Project A: Watch staged ROC-AUC level off. Project B: AdaBoostRegressor is usually weaker than gradient boosting here.

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