Boosted Trees Specifications - Quick Tab

Select the Quick tab of the Boosted Trees Specifications dialog to access options to select the variables and the codes of variables required for this analysis for the Type of analysis that you selected in the Boosted Trees Startup Panel - Quick tab. The variables and code selection options are described here.

Variables
Click this button to display a four-variable lists selection dialog from which you can select the dependent variable, categorical predictor variables, continuous predictors, and count variable (optional).

From the first list, select the dependent variable. If you are analyzing a classification problem with a categorical response variable, the dependent variable must contain text or numeric (integer) codes that identify the class or group to which each case or observation belongs.

From the second list, select the categorical variables (factors). Note that these variables must contain text or numeric codes that identify the classes or groups to which each case or observation belongs.

From the third list, select the continuous predictors.

From the fourth list, select the count variable. This variable is optional. If selected, it will be used as a case-multiplier in the analysis. Thus, you can analyze input data that have previously been aggregated (tabulated).

Response codes
This option is available only if the current analysis is a Classification analysis (prediction of a categorical or class variable; see also the Boosted Trees Startup Panel - Quick tab topic), and after a categorical dependent variable has been specified. Click the Response codes button to display the Select codes for the categorical response dialog, where you can make a selection for the categorical response from the list of codes for the dependent variable selected in the current analysis. The list of codes can be displayed by clicking the Zoom button. Note that you must select at least two codes for the selected dependent variable.
Factor codes
Once you have made the Variables selection, and selected categorical predictor variables, the option for the selection of the factor codes will be available. Click the Factor codes button to display the Select Codes for Independent Variables dialog, where you can select codes for the categorical factors or predictors. The list of codes can be displayed by clicking the Zoom button. Note that you must select at least two codes for each of the selected categorical factors.