Bagging and Boosting
Bagging and boosting are both ensemble techniques in machine learning, where multiple models are used together to achieve better performance than any single model alone. Bagging (Bootstrap Aggregating): Improve the stability and accuracy of machine learning algorithms by combining the results of multiple models. Random subsets (or samples) of the…
