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Decision Tree Tool

The Decision Tree tool constructs a set of if-then split rules that optimize a criteria to create a model that predicts a target variable using one or more predictor variables. The criteria used to form these rules depends on the nature of the target variable. If the target variable identifies membership in one of a set of categories, then a classification tree is constructed. If the target variable is a continuous variable, then a regression tree is constructed. See Decision Tree Learning.

This tool uses the R programming language. Go to Options > Download Predictive Tools to install R and the packages used by the R Tool.