Output Overview Descriptions | Predictive Modeling | Learning Curve Model Comparison

Learning Curve Model Comparison
Running this process using the GeneticMarkerExample sample setting generates the tabbed Results window shown below. Refer to the Learning Curve Model Comparison process description for more information. Output from the process is organized into tabs. Each tab contains one or more plots, data panels, data filters, and other elements that facilitate your analysis.
The Results window contains the following panes:
Tab Viewer
This pane provides you with a space to view individual tabs within the Results window. Use the tabs to access and view the output plots and associated data sets.
The following tabs are generated by this process:
Test Set Average and Individual RMSE: Shows each individual root mean square error (RMSE) learning curve and the average for each model.
Test Set Average RMSE Range: Shows the average RMSE learning curve for each model along with a shaded band showing the range of the individual curves.
Test Set Average Accuracy Range: Shows the average accuracy learning curve for each model along with a shaded band showing the range of the individual curves..
Test Set Average AUC Range: : Shows the average area-under-the-curve (AUC) learning curve for each model along with a shaded band showing the range of the individual curves.
General
Click View Data to reveal the underlying data table associated with the current tab.
Click Reopen Dialog to reopen the completed process dialog used to generate this output.
Click Create Report to generate a pdf- or rtf-formatted report containing the plots and charts of selected tabs.
Click Close All to close all graphics windows and underlying data sets associated with the output.