Selecting Categories
For categorical (nominal, ordinal) dependent variables, you can:
- Control which categories are included in the analysis.
- Identify the target categories of interest.
Including/Excluding Categories
You can limit the analysis to specific categories of the dependent variable.
- Cases with values of the dependent variable in the Exclude list are not included in the analysis.
- For nominal dependent variables, you can also include user-missing categories in the analysis. (By default, user-missing categories are displayed in the Exclude list.)
Target Categories
Selected (checked) categories are treated as the categories of primary interest in the analysis. For example, if you are primarily interested in identifying those individuals most likely to default on a loan, you might select the "bad" credit-rating category as the target category.
- There is no default target category. If no category is selected, some classification rule options and gains-related output are not available.
- If multiple categories are selected, separate gains tables and charts are produced for each target category.
- Designating one or more categories as target categories has no effect on the tree model, risk estimate, or misclassification results.
Categories and Value Labels
This dialog box requires defined value labels for the dependent variable. It is not available unless at least two values of the categorical dependent variable have defined value labels. See the topic To specify value labels for more information.
To Include/Exclude Categories and Select Target Categories
This feature requires the Decision Trees option.
- From the
menus choose:
- In the main Decision Tree dialog box, select a categorical (nominal, ordinal) dependent variable with two or more defined value labels.
- Click Categories.