Displaying 1 result from an estimated 1 matches for "info_g".
Did you mean:
info_a
2010 Aug 13
1
decision tree finetune
My decision tree grows only with one split and based on what I see in
E-Miner it should split on more variables. How can I adjust splitting
criteria in R?
Also is there way to indicate that some variables are binary, like variable
Info_G is binary so in the results would be nice to see "2) Info_G=0"
instead of "2) Info_G<0.5".
Thank you in advance!
And thanks for Eric who helped with my previous question about starting
"rpart".
Olga
> fit <- rpart(Retention ~
Info_G+AOPD+Mail+Xref_Umbr+Ins_...