Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
horizontal or vertical; decision trees are great for creating “boxy” decision boundaries. By varying the height (i.e. number of levels) of the decision tree, we can control the number of regions we split the data into. As always, trees that are too short can underfit, and trees that are too tall