This process is used to summarize the cross-validation results from the Predictive Modeling Review process. It helps to compare multiple predictive models for more than one outcome. It also enables users to select the best models and ensemble their outputs through averaging the predicted values.
What do I need?
This process uses cross-validation files, with multiple continuous outcomes and multiple models fitted, generated using the Predictive Modeling Review as input. At least one file must be specified.
Options
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Select Cross-Validation Files: Click to open an explorer window. Navigate to the folder containing the cross-validation files and click . Click to clear the selection.
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Show Available Files: Click to display all of the cross-validation files in the specified folder. Highlight one or more files to summarize.
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Run Summary: Click to summarize the selected cross-validation results.
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Cancel: Click to cancel the analysis.
Output/Results
The output generated by this process is summarized in a Tabbed report. Refer to the Model Summary and Ensemble output documentation for detailed descriptions and guides to interpreting your results.