Machine Learning, Uc Berkeley, Random Forest, Decision Tree, Ensemble Learning.
prediction. For example, if our decision tree guessed 100k for the price of a house when the actual price was 75k, then our error is error = actual value − predicted value = 75k − 100k = −25k This tells us that if we had subtracted 25k (or equivalently added -25k), then we would have obtained the