Ensemble method

Ensemble methods in machine learning refer to techniques that combine multiple models to improve the overall performance compared to individual models. The central idea is that a group of weak learners, when combined, can create a strong learner that performs better than any single model. The ensemble methods are particularly useful when the individual models are prone to overfitting ___ ____ ________ ________ _____ ______ ________ __________.
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