Workspace Node: Random Forest Classification - Results - Prediction Tab

In the Random Forest Classification node dialog box, under the Results heading, select the Prediction tab to access the following options.

Element Name Description
Sample Select an option button in this group box to specify for which type of sample to compute the predicted and residual statistics (classifications).
Analysis Only those observations that were used to compute the current results (i.e., build the current set of trees).
Test set All observations that were held out for use as a test set.
Prediction All cases that have valid data for the predictor variables, but with missing data for the dependent variable.
All samples Displays and plots classifications statistics for all the sets above in one spreadsheet or graph.
Predicted values Select this check box to produce a spreadsheet showing the observed and predicted values for the current solution. If the response variable is categorical, the results will also indicate the observed classifications, predicted classifications, and posterior (final) prediction probabilities for each response category. If the response variable is continuous, the spreadsheet will contain the predicted and residual values for each observation. Note that plots of predicted and residual values only apply to (are available for) analyses involving a continuous dependent variable.

Options / C. See Common Options.

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