Description: CHAID :(Chi-square Automatic Interaction Detector (or Detection, depending upon the source consulted),
is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. CHAID modeling selects a set of predictors and their interactions that optimally predict the dependent measure. The developed model is a classification tree (or data partitioning tree) that shows how major "types" formed from the independent (predictor or splitter) variables differentially predict a criterion or dependent variable.
To Search:
File list (Check if you may need any files):
Source - BCB
............\Project2.bpr
............\Project2.cpp
............\Project2.res
............\Unit1.cpp
............\Unit1.dfm
............\Unit1.h
............\UnitFchi.cpp
............\UnitFchi.h
Download