Output | Predictive Modeling | Cross Validation Model Comparison

Cross Validation Model Comparison
Running this process using the GeneticMarkerExample sample setting generates the tabbed Results window shown below. Refer to the Cross Validation 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:
RMSE : Displays results for the root mean square error ( RMSE ) performance criterion.
AUC : Present only when data contains binary dependent variables . Displays results for the area under the receiver operating characteristic ( ROC ) curve performance criterion.
Accuracy : Present only when data contains binary dependent variables. Displays results for the accuracy performance criterion.
Harrell’s C : Present only when data contains continuous dependent variables. Displays results for the Harrell's C performance criterion.
Model Effects : Hierarchically clusters effects chosen from each method.
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.