I want to know when Bagging is better than Boosting? How I select appropriate method for my classification task?
I think when we have many outliers in our data-set, Bagging must be better than Boosting. Because these outliers are susceptible to be misclassified in each iteration and it may cause over-fitting the model on outliers. Is it true? Do you have any other idea for select best method between Bagging and Boosting?