Bagging and Boosting in Machine Learning
Introduction Bagging and boosting are two crucial techniques in ensemble learning, which is a method in machine learning that combines multiple models to improve performance. Ensemble learning in machine learning has gained significant attention due to its ability to produce more accurate and robust predictions than individual models. This article aims to delve into the