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 ...

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 ...