AdaBoost Algorithm Table Of Contents: Introduction What Is the AdaBoost Algorithm? Understanding the Working of the AdaBoost Algorithm (1) Introduction Boosting is a machine learning ensemble technique that combines multiple weak learners to create a strong learner. The term “boosting” refers to the idea of boosting the performance of weak models by iteratively training them on different subsets of the data. The main steps involved in a boosting algorithm are as follows: Initialize the ensemble: Initially, each instance in the training data is given equal weight, and a weak learner (e.g., a decision tree) is trained on the data. Iteratively

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