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• 18:57, 30 November 2024 Prairie talk contribs created page Boosting (Created page with "'''Boosting''' is an ensemble learning technique in machine learning that focuses on improving the performance of weak learners (models that perform slightly better than random guessing) by sequentially training them on the mistakes made by previous models. Boosting reduces bias and variance, making it effective for building accurate and robust predictive models. ==Overview== The key idea behind boosting is to combine multiple weak learners into a single strong learner....") Tag: Visual edit