Question: what are the key differences between bagging and boosting methods?
Answer: 3. Difference Between Bagging And Boosting. Bagging technique can be an effective approach to reduce the variance of a model, to prevent over-fitting and to increase the accuracy of unstable models. On the other hand, Boosting enables us to implement a strong model by combining a number of weak models together.