Chi-square automatic interaction detection: Difference between revisions

Revision as of 19:12, 9 March 2010

Revision as of 20:35, 12 March 2010

Line 1:

'''CHAID''' is a type of [[Decision_tree_learning|decision tree]] technique, based upon adjusted significance testing ([[Bonferroni testing]]). The technique was developed in [[South Africa]] and was published in 1980 by Gordon V. Kass, who had completed a PhD thesis on this topic. ItCHAID can be used for prediction (in a similar fashion to [[regression analysis]], this version of CHAID being originally known as XAID) as well as classification, and for detection of interaction between variables. CHAID stands for '''CH'''i-squared '''A'''utomatic '''I'''nteraction '''D'''etector, based upon a formal extension of the US AID (Automatic Interaction Detector) and THAID (THeta Automatic Interaction Detector) procedures of the 1960's and 70's.

In practice, CHAID is often used in the context of [[direct marketing]] to select groups of consumers and predict how their responses to some variables affect other variables, although early applications were in the field of medical and psychiatric research.