Building a Scoring Model

One of the most powerful and useful features of the Decision Tree procedure is the ability to build models that can then be applied to other data files to predict outcomes. For example, based on a data file that contains both demographic information and information on vehicle purchase price, we can build a model that can be used to predict how much people with similar demographic characteristics are likely to spend on a new car—and then apply that model to other data files where demographic information is available but information on previous vehicle purchasing is not.

To know more, go to Professional Edition>Forecasting

For this example, we'll use the data file tree_car.sav. See the topic Sample Files for more information.

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