This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.
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 Fit Model or Discover Key Predictors for TreeNet® Classification.
By default, Minitab uses cross-validation when the number of cases is ≤ 2000. When the number of cases is larger than 2000, Minitab uses a test set. Usually, cross-validation is a better validation method, but requires more time to calculate the results. Validation with a test set is useful when the cross-validation method is too time-consuming.
To learn more about the settings for validation techniques in Fit Model and Discover Key Predictors, go to Specify the validation method for Fit Model and Discover Key Predictors with TreeNet® Regression.