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Adaptive Boosting: A stepwise Explanation of the Algorithm

Adaptive Boosting (or AdaBoost), a supervised ensemble learning algorithm, was the very first Boosting algorithm used in practice and developed by Freund and Schapire back in 1995.

In a nutshell, Adaptive Boosting helps to reduce the error of any classification learning algorithm (like Decision Trees or Support Vector Machines) by sequentially turning many weak…