Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
of information we can conclude. More concretely, we choose a value such that each region is largely made up of data points from one category. By figuring out how “pure” each region is, we can figure out if our chosen value is a good one. Ensemble Models There’s a story of a fair where visitors