Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
from the original dataset using bootstrapping. We now train N decision trees on each of the N different samples (same as before), but with one major caveat. In the process of training these decision trees, whenever we make a new split in a tree, we select amongst a randomly chosen subset (of size