Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
easier to navigate. Similarly, we’d like our decision tree to organize data points so that it separates data points (i.e., socks) into regions (i.e., drawers) that are as “pure” as possible. This means that as we are building the decision tree, we always choose the split that maximizes the amount