Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
397608 | Information Systems | 2006 | 18 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Merel van Diepen, Philip Hans Franses,