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Created page with "== Introduction == Bootstrap aggregating, commonly known as bagging, is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms. It reduces variance and helps to avoid overfitting, particularly in decision tree models. Bagging is a foundational technique in ensemble learning, which combines multiple models to produce a more robust and generalized model. == Concept and Mechanism == Bagging involves genera..."
