Bagging In Machine Learning, What Is It?
Bagging is a Machine Learning method to improve the performance and stability of algorithms. Bagging can be used in regression as well as in classification. It reduces the variance of the model and limits its overfitting. The final prediction in fact takes into consideration all the models trained to make its final prediction. In classification,…