[R] Decision tree model using rpart ( classification

[Andrew Ziem]

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