aajit75 <aajit75 <at> yahoo.co.in> writes: > fit <- rpart(decile ~., method="class", > control=rpart.control(minsplit=min_obs_split, cp=c_c_factor), > data=dtm_ip) > > In A and B target variable 'segment' is from the clustering data using same > set of input variables , while in C target variable 'decile' is derived from > behavioural variables and input variables are from profile data. Number of > rows in the input table in all three cases are same.
What is the value of modeling the deciles as the target? They are a lower resolution version of information you already have, and without this model that doesn't finish fitting you should already be able to assign a decile to every customer. Andrew ______________________________________________ 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.
