Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
(independent and identically distributed) predictions from N different decision tree models (Z_1, Z_2, Z_3, …Z_N), which each have variance σ^2. These N different decision tree models are trained on N different samples of the original data generated via a statistical technique called Bootstrapping,