General Classification and Regression Trees

Classification and Regression Trees (C&RT) is a decision tree learning technique that produces either classification trees for predicting categorical predictor variables or regression trees for continuous dependent variables.

Note: Learn more about the object model by reading Statistica user documentation. The Statistica application's user interface and object model have similar options. The documentation contains overviews of the analytics, descriptions of the input and outputs for the analyses, and step-by-step examples.