Match the following descriptions of methods with the method. A model is an automatic, flexible, non-linear regression model, not interpretable, and retains all predictor variables although it may limit the effects of some.
A model handles outliers well, handles many potential predictor variables easily, and sort decision tree. through predictor variables repeatedly to divide the data into groups to best neural network. determine the response variable.