Interactive Trees Startup Panel and Quick Tab

Ribbon bar. Select the Data Mining tab. In the Trees/Partitioning group, click I-Trees to display the Interactive Trees Startup Panel.

Classic menus. From the Data Mining menu, select Interactive Trees (C&RT, CHAID) to display the Interactive Trees Startup Panel.

See also the Interactive Trees Index, Overview, and Example.

The Quick tab of the Interactive Trees Startup Panel contains two choices for the Type of analysis - Classification Analysis and Regression Analysis - and three choices for the Model building method - C&RT, CHAID, and Exhaustive CHAID.

Element Name Description
Type of analysis Select either Classification Analysis or Regression Analysis.
Classification Analysis Classification-type problems are generally those where you attempt to predict values of a categorical dependent variable (class, group membership, etc.) from one or more continuous and/or categorical predictor variables. For example, you may be interested in predicting who will or will not graduate from college, or who will or will not renew a subscription. These are examples of simple binary classification problems, where the categorical dependent variable can only assume two distinct and mutually exclusive values. In another case, you might be interested in predicting which one of multiple consumer products (e.g., makes of cars) a person decides to purchase, or which type of failure occurs with different types of engines. In these cases, there are multiple categories or classes for the categorical dependent variable.
Regression Analysis Regression-type problems are generally those where you attempt to predict the values of a continuous variable from one or more continuous and/or categorical predictor variables. For example, you may want to predict the selling prices of single family homes (a continuous dependent variable) from various other continuous predictors (e.g., square footage) as well as categorical predictors (e.g., style of home, such as ranch, two-story, etc.; zip code or telephone area code where the property is located, etc.; note that this latter variable would be categorical in nature, even though it would contain numeric values or codes).
Model Building Method
C&RT Select C&RT to use classification and regression tree methods (see Breiman, Friedman, Olshen, & Stone, 1984; see also Ripley, 1996) to build the tree.
CHAID/Exhaustive CHAID Select CHAID or Exhaustive CHAID to use so-called Chi-squared Automatic Interaction Detector methods to build the tree (see Kass, 1980). The general computational methods are mostly identical to those implemented in the General Classification and Regression Trees (GC&RT) and General CHAID (GCHAID) Models modules of STATISTICA, and they are described there in greater detail.
OK Click the OK button to display the ITrees Extended Options dialog box, where you can select the variables and use other options for this analysis.
Cancel Click the Cancel button to close the Startup Panel without performing an analysis.
Options See Options Menu for descriptions of the commands on this menu.
Open Data Click the Open Data button to display the Select Data Source dialog box, which contains options to choose the spreadsheet on which to perform the analysis. The Select Data Source dialog box contains a list of the spreadsheets that are currently active.
Select Cases Click the Select Cases button to display the Analysis/Graph Case Selection Conditions dialog box, which contains options to create conditions for which cases will be included (or excluded) in the current analysis. More information is available in the case selection conditions overview, syntax summary, and dialog box description.
W Click the W (Weight) button to display the Analysis/Graph Case Weights dialog box, which contains options to adjust the contribution of individual cases to the outcome of the current analysis by "weighting" those cases in proportion to the values of a selected variable.