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A popular boosting algorithm (short for "adaptive boosting"). Boosting combines weakly predictive models into a strongly predictive model.

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Tuning adaboost

The boosting algorithm Adaboost (when using a tree) has three core parameters: number of weak learners to train learning rate max nb of splits (depth of tree) What are good practices, perhaps proven …
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