Validation, Overfitting, Underfitting, Overfitting Underfitting, Machine Learning.
sub-tree. 2. Ensembling— Different ensembling techniques like bagging and boosting help to control the issue of over-fitting because we create multiple trees and average out predictions from weak learners to make the final prediction. 3. Regularisation — In XGBoost we can apply regularisation to