Bagging vs Boosting: What is the Difference?
When the performance of a single model falters in delivering accurate predictions, ensemble learning techniques often emerge as the preferred solution. The most renowned methods, Bagging (Bootstrap Aggregating) and Boosting, aim to enhance the accuracy of predictions in machine learning by amalgamating the outcomes from individual models to derive more robust and precise final predictions. […]
