I figured it out myself, here it is: control=rpart.control(cp=.001))
Thank you!
On Fri, Aug 13, 2010 at 12:58 PM, Olga Shaganova olga.sha...@gmail.comwrote:
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_G0.5.
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_Age+Discount+Xref_A + Con6 +
+ Con5 +Con4 +
+ Con3 + Con2 +
+ Con1 , data=Home,control=rpart.control(minsplit=5))
fit
n= 48407
node), split, n, deviance, yval
* denotes terminal node
1) root 48407 4730.642 0.8902225
2) Info_G 0.5 14280 1999.293 0.8316527 *
3) Info_G=0.5 34127 2661.865 0.9147303 *
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
