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IBM SPSS Decision Trees creates classification and decision trees to help you better identify groups, discover relationships between groups and predict future events. You can use classification and decision trees for segmentation, stratification, prediction, data reduction and variable screening, interaction identification, category merging and discretizing continuous variables.
Highly visual diagrams enable you to present categorical results in an intuitive manner - so you can more clearly explain categorical results to non-technical audiences. These trees enable you to explore your results and visually determine how your model flows. Visual results can help you find specific subgroups and relationships that you might not uncover using more traditional statistics. Because classification trees break the data down into branches and nodes, you can easily see where a group splits and terminates.
Highly visual diagrams enable you to present categorical results in an intuitive manner - so you can more clearly explain categorical results to non-technical audiences. These trees enable you to explore your results and visually determine how your model flows. Visual results can help you find specific subgroups and relationships that you might not uncover using more traditional statistics. Because classification trees break the data down into branches and nodes, you can easily see where a group splits and terminates.