What Is Bagging And Boosting In Machine Learning?
Bagging & boosting are two distinct ensemble techniques that utilize multiple models to minimize errors & enhance model optimization. Bagging involves combining models trained on different subsets of data, while boosting sequentially trains the model, focusing on the errors made by the previous model. This article will explore the contrast between bagging & boosting. Bagging … Read more
