Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
classifiers’ individual predictions (in the case of regression). *This part gets more mathy, feel free to skip ahead if you want. Why does bagging reduce variance of the final ensemble model’s predictions? From basic probability theory, we can represent the decision trees as a set of i.i.d