Hi, the models that are used depend on the modeling method you choose in the RPM dialog. Here is a snippet from Help for the Advanced modeling method:
"Champion Model Selection: The advanced model performs an analytic assessment of the predictive or classification performance of the competing decision tree, neural, and regression models. The model that demonstrates the best predictive or classification performance is then used as an input, along with the champion model from the basic and intermediate models, to create an ensemble model. Then the newly created advanced ensemble model, decision tree model, neural model, and backward regression model are analytically compared to select the best model from the sample space of all basic, intermediate, and advanced champion models.
After the SAS Rapid Predictive Modeler selects a champion model, it runs and compares the predictive performance of the advanced model to the champion models for the intermediate and basic models, and then chooses the best performing champion model as the result."
You can see and continue to refine your RPM models by saving an Enterprise Miner project (in the Options panel) then opening the project in EM. That will enable you to see the entire process flow and work with it as if it had been created in EM.
Hope this helps.
Ray
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