The SPSS Decision Trees add-on module provides specialized tree-building techniques for classification—entirely within the SPSS for Statistics environment.
SPSS Decision Trees includes four established tree-growing algorithms:
With four algorithms, you have the ability to try different types of tree-growing algorithms and find the one that best fits your data.
SPSS Classification Trees diagrams, tables, and graphs are easy to interpret.
Use the highly visual trees to discover relationships that are currently hidden in your data (top).
Use tree model results to score cases directly in SPSS (bottom).
Because you create classification trees directly within SPSS, you can conveniently use the information that results to segment and group cases directly within the data. Additionally, you can generate selection or classification/prediction rules in the form of SPSS syntax, SQL statements, or simple text (through syntax). You can display these rules in the Viewer and save them to an external file for later use to make predictions about individual and new cases. If you'd like to use your results to score other data files, you can write information from the tree model directly to your data or create XML models for use in SPSS Server.
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