Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
and number of bedrooms (m = 3) while ignoring the remaining 6 features (p = 9). Typically, m is chosen on the magnitude of the square root of p in order for the random forests procedure to produce reasonably decorrelated decision trees. Once we have N different decision tree models, we can average