Working with Decision List Viewer

A model that will best predict customer response and behavior is built in various stages. When Decision List Viewer launches, the working model is populated with the defined model segments and measures, ready for you start a mining task, modify the segments/measures as required, and generate a new model or modeling node.

You can add one or more segment rules until you have developed a satisfactory model. You can add segment rules to the model by running mining tasks or by using the Edit Segment Rule function.

In the model building process, you can assess the performance of the model by validating the model against measure data, by visualizing the model in a chart, or by generating custom Excel measures.

When you feel certain about the model's quality, you can generate a new model and place it on the IBM® SPSS® Modeler canvas or Model palette.