Decision Tree Tool

The Decision Tree tool creates a set of if-then split rules to optimize model creation criteria based on Decision Tree Learning methods. Rule formation is based on the target field type:

  • If the target field is a member of a category set, a classification tree is constructed.
  • If the target field is a continuous variable, a regression tree is constructed.

Use the Decision Tree tool when the target field is predicted using one or more variable fields, such as a classification or continuous target regression problem.

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