Hello,
Is there an option of cross validation for CHAID decision tree? An example of
CHAID is below:
library("CHAID")
example("chaid", package = "CHAID")
How can I use a 10 fold cross-validation for CHAID?
I've read that caret package is to cross-validate on many times of models, but
model CHAID is not in caret's built-in library.
library(caret)
model <- train(vote3 ~., data = USvoteS, method='CHAID',
tuneLength=10,trControl=trainControl(method='cv', number=10, classProbs=TRUE,
summaryFunction=twoClassSummary))
Thanks,
Rodica
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