WS Node - Rapid Deployment - Specifications - Quick Tab

The Rapid Deployment workspace node can be accessed from the Feature Finder, ribbon bar, or Node Browser. The Quick tab of the specifications dialog box is displayed by default when you double-click the node.

Element Name Description
Predicted values Select this check box to compute predicted values and other statistics for the current model from the current active data set, and to place this information along with other variables into a spreadsheet marked for input for subsequent analyses. This option is particularly useful in order to create input data files for further analyses after computing predicted values (e.g., for further residual analyses, etc.).
Model list Select this check box to produce a spreadsheet with names of currently selected (PMML) files.
Include prediction probabilities in output This option is available for classification models. When this check box is selected, the prediction probabilities of the dependent categories for the selected models will be created.
When unmatched categories are encountered In some cases and for some models, it is possible to make predictions from categorical (class) variables when the actual categories or class values are not referenced by the respective prediction models (PMML).

For example, suppose you built a prediction model that included a categorical predictor EmploymentStatus with the categories Yes and No. Now suppose a new case is to be predicted (scored) where the individual responded Part Time, instead of Yes or No. Some models, such as logistic regression can in fact make valid predictions for such cases, assuming that the value for this variable is Not-Yes and Not-No. The coding that is performed before the prediction model is applied may code the respective variable as two binary variables (0/1) to indicate the Yes and No responses. If a category does not match either of those variables, it will be 0 for both response categories.

Sometimes this may not be desirable behavior. Instead the predictions should either not be made for those cases, or the entire deployment (computations of predicted values) should be interrupted to inform the operator or analyst that a heretofore unknown class value was encountered.

Let model handle unmatched categories Select this option button to let the respective prediction model handle these cases. Some will make valid predictions.
Set predictions to missing data Select this option button to let the scoring proceed, but return a missing data value for the predicted value or class from all prediction models.
Interrupt scoring (processing), and show error Select this option button to interrupt the analyses. The first instance of an unmatched class value will be shown in the error message.

Options. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The results are placed in the Reporting Documents node after running (updating) the project.

See also, Specifications - Lift chart tab, Profit Chart/ROC Curve tab, Specifications - Save Results tab, and Home tab.