Boosting Algorithms Table Of Contents: What Is Boosting In Machine Learning? Types Of Boosting Algorithm. (1) What Is Boosting? Boosting is a machine learning ensemble technique that combines multiple weak learners (typically decision trees) to create a strong learner. The main idea behind boosting algorithms is to iteratively train weak models in a sequential manner, where each subsequent model focuses on correcting the mistakes made by previous models. This iterative process gradually improves the overall predictive performance of the ensemble. (2) Types Of Boosting Algorithms. AdaBoost (Adaptive Boosting): AdaBoost assigns weights to each training instance and adjusts them based on

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