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• 22:43, 21 June 2024 Ai talk contribs created page Bootstrap Aggregating (Bagging) (Created page with "== Introduction == Bootstrap Aggregating, commonly known as Bagging, is an ensemble learning technique designed to improve the stability and accuracy of machine learning algorithms. It reduces variance and helps to avoid overfitting. Bagging is particularly useful for high-variance models, such as decision trees, and is a foundational method in the field of ensemble learning. == Concept and Mechanism == Bagging involves generating multiple versions of a predictor an...")