Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
words, Nevertheless, our second tree will still have errors in its prediction. As a result, we train a third decision tree to predict the errors of the second, and so on until we have trained some prespecified number of decision trees. Then, we simply add the predictions of all the decision trees