1. For b=1 to B: (a) Draw a bootstrap sample Z* of size N from the training data. (b) Grow a random-forest tree Ty to the bootstrapped data, by re- cursively repeating the following steps for each terminal node of the tree, until the minimum node size nmin is reached. i. Select m variables at random from the variables. ii. Pick the best variable/split-point among the m. iii. Split the node into two daughter nodes. 2. Output the ensemble of trees {To}} To make a prediction at a new point x: Regression: f}(x) = +