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_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 *
>

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