Bagging and Boosting in Machine Learning | DataTrained

Bagging and Boosting are two ensemble learning methods that enhance the system’s performance by combining several weak learners to get one active learner. The predicted output of each weak learner is connected using model averaging techniques to get the final result. Bagging and Boosting in Machine Learning | DataTrained