Evaluating chi-squared automatic interaction detection

Authors:
Merel van Diepen;Philip Hans Franses
Affiliations:
Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands;Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands
Venue:
Information Systems
Year:
2006

Citing 1
Cited 1

Bagging predictors

Machine Learning

Consumer behavior fuzziness in the new market environments

NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a method to compute confidence bounds around the predictions from chi-squared automatic interaction detection (CHAID). These bounds are useful for ex ante target selection as some clusters may or may not overlap. They are also useful for ex post evaluation of the predictive quality of CHAID. The method is illustrated using simulated data.