Abstract #301082

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JSM 2002 Abstract #301082
Activity Number: 362
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing*
Abstract - #301082
Title: Permutation Testing for Classification and Regression Trees
Author(s): Patrick Carmack*+ and Stephan Sain
Affiliation(s): Southern Methodist University and University of Colorado, Denver
Address: 3225 Daniel Avenue, Rm 144 Heroy Bldg, Dallas, Texas, 75275-0332, USA
Keywords: permutation test ; tree pruning ; classification and regression tree ; splitting criteria ; stopping criteria
Abstract:

Traditional approaches to building trees for classification and regression have relied on stopping rules, cost-complexity measures, and cross-validation to choose important splits and the size of the tree. An alternative is presented that is based an a simple permutation test gives information about the significance of individual splits, as well as the size of the tree. Comparisons with some of the traditional approaches will be considered with simulation and example.

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Revised March 2002