To ensure that your results are valid, consider the following guidelines when you collect data, perform the analysis, and interpret your results.
The data for the response variable must be numeric values.
If your response variable is categorical, use CART® Classification.
By default, Minitab uses cross-validation when the number of cases is ≤ 5000. When the number of cases is larger than 5000, Minitab uses a test set. Validation with a training set of data and a test set of data is useful when the data set is large. To learn more about the settings for validation techniques in CART® Regression, go to Specify the validation method for CART® Regression.