Classification and Regression Trees

The classification and regression tree methods are nonparametric analysis techniques for partitioning populations into meaningful subgroups. When the response variable is categorical, the technique is referred to as Classification Trees. When the response variable is continuous, the method is referred to as Regression Trees. The purpose of this workshop is to introduce researchers to the concepts of tree-based modeling techniques, including the interpretation of results and software implementation. Fee: None to members of the Cornell community Registration: Registration is required. Since space is limited, early registration is encouraged. Instructor: Simona Despa

Fee: None, but registration is required.

For times and locations of upcoming workshops, please see the Workshop Schedule.

Instructor: Simona Despa