Message-ID: <loom.20111104T192352-341@post.gmane.org>
Date: 2011-11-04T18:31:08Z
From: Andrew Ziem
Subject: Decision tree model using rpart ( classification
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