User manual SPSS CLASSIFICATION TREES 13.0

[. . . ] SPSS Classification Trees 13. 0 TM For more information about SPSS® software products, please visit our Web site at http://www. spss. com or contact SPSS Inc. 233 South Wacker Drive, 11th Floor Chicago, IL 60606-6412 Tel: (312) 651-3000 Fax: (312) 651-3668 SPSS is a registered trademark and the other product names are the trademarks of SPSS Inc. No material describing such software may be produced or distributed without the written permission of the owners of the trademark and license rights in the software and the copyrights in the published materials. The SOFTWARE and documentation are provided with RESTRICTED RIGHTS. [. . . ] Rules that include surrogates can be quite complex. In general, if you just want to derive conceptual information about your tree, exclude surrogates. If some cases have incomplete independent variable (predictor) data and you want rules that mimic your tree, include surrogates. For more information, see "Surrogates" on p. Controls the scope of the generated rules. A separate rule is generated for each node included in the scope. All terminal nodes. Generates rules for the top n terminal nodes based on index values. If the number exceeds the number of terminal nodes in the tree, rules are generated for all terminal nodes. (See note below. ) Best terminal nodes up to a specified percentage of cases. Generates rules for terminal nodes for the top n percentage of cases based on index values. (See note below. ) Terminal nodes whose index value meets or exceeds a cutoff value. Generates rules for all terminal nodes with an index value greater than or equal to the specified value. An index value greater than 100 means that the percentage of cases in 47 Creating Classification Trees the target category in that node exceeds the percentage in the root node. Generates rules for all nodes. Note 1: Node selection based on index values is available only for categorical dependent variables with defined target categories. If you have specified multiple target categories, a separate set of rules is generated for each target category. Note 2: For SPSS and SQL rules for selecting cases (not rules for assigning values), All nodes and All terminal nodes will effectively generate a rule that selects all cases used in the analysis. Export rules to a file. Saves the rules in an external text file. You can also generate and save selection or scoring rules interactively, based on selected nodes in the final tree model. For more information, see "Case Selection and Scoring Rules" in Chapter 2 on p. Note: If you apply rules in the form of SPSS command syntax to another data file, that data file must contain variables with the same names as the independent variables included in the final model, measured in the same metric, with the same user-defined missing values (if any). Chapter Tree Editor 2 With the Tree Editor, you can: Hide and show selected tree branches. Control display of node content, statistics displayed at node splits, and other information. Change node, background, border, chart, and font colors. Select subsets of cases for further analysis based on selected nodes. [. . . ] Age is also used as a surrogate for income level at nodes 1 and 5. Summary Different growing methods handle missing data in different ways. If the data used to create the model contain many missing values--or if you want to apply that model to other data files that contain many missing values--you should evaluate the effect of missing values on the various models. If you want to use surrogates in the model to compensate for missing values, use the CRT or QUEST methods. Glossary CHAID. Chi-squared Automatic Interaction Detection. [. . . ]