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juanvg1972
Pyrite | Level 9

Hi,

 

I would like to know ihow rorks Rapid predictive modeler (RPM).

When I create nd execute an RPM task from a dataset.... does RPM select automaticaly de model (for example logistic regression, decision tree., cluster..)?, does it use a single model or a group of this?, can I see the model selected

 

Thanks

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rayIII
SAS Employee
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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ChrisHemedinger
Community Manager

See this document about How to Interpret the results of Rapid Predictive Modeler -- maybe that will help.

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juanvg1972
Pyrite | Level 9

Thanks Chris

 

I have read this docs just yerterday

 

I didn't find any information about the models behind the results.

 

Can you tell me more about the models?, Does RPM select a model automaticaly?, can i see it?

Thanks

ChrisHemedinger
Community Manager

I believe that RPM takes an ensemble approach.  You can probably learn more in this Ask the Expert video, available on-demand.

 

I'll also move this topic to the Data Mining community -- some experts there might chime in.

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rayIII
SAS Employee
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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