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AdaBoost Classifier Example In Python

The general idea behind boosting methods is to train predictors sequentially, each trying to correct its predecessor. The two most commonly used boosting algorithms are AdaBoost and Gradient Boosting. In the proceeding article, we’ll cover AdaBoost. At a high level, AdaBoost is similar to Random Forest in that they both tally up the predictions made by each decision trees within the forest to decide on the final…