A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

When using decision tree regression, it's not necessary to normalize the training data predictor values because no distance between data items is computed. However, normalizing the predictors doesn't ...