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 Wikipedia AdaBoost
"Adaptative boosting" (Authors won Gödel Prize for their work) output of the 'weak learners' is combined into a weighted sum that represents the final output of the boosted classifier. Sensitive to noisy data and outliers (says wikipedia) > AdaBoost (with decision trees as the weak learners) is often referred to as the best out-of-the-box classifier
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