bagging

Ensemble Learning is a method used in Machine Learning that consists of combining multiple models. These models are “base models” or “weak learners”. Weak learners are models that don’t have a good performance, for example, they have high variance or high bias. There are two kinds of ensemble models: Homogeneous: Read more…