Hi Ajit, Please send the code you are running in each case. ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ----------------------------------------------------------------------------------------------
On Fri, Nov 4, 2011 at 8:36 AM, aajit75 <aaji...@yahoo.co.in> wrote: > Hi Experts, > > I am new to R, using decision tree model for getting segmentation rules. > A) Using behavioural data (attributes defining customer behaviour, ( > example > balances, number of accounts etc.) > 1. Clustering: Cluster behavioural data to suitable number of clusters > 2. Decision Tree: Using rpart classification tree for generating rules for > segmentation using cluster number(cluster id) as target variable and > variables from behavioural data as input variables. > > B) Using profile data (customers demographic data ) > 1. Clustering: Cluster profile data to suitable number of clusters > 2. Decision Tree: Using rpart classification tree for generating rules for > segmentation using cluster number(cluster id) as target variable and > variables from profile data as input variables. > > C) Using profile data (customers demographic data ) and deciles created > based on behaviour > 1. Deciles: Deciles customers to 10 groups based on some behavioural data > 2. Decision Tree: Using rpart classification for generating rules for > segmentation using Deciles as target variable and variables from profile > data as input variables. > > In first two cases A and B decision tree model using rpart finish the > execution in a minute or two, But in third case (C) it continues to run for > infinite amount of time( monitored and running even after 14 hours). > fit <- rpart(decile ~., method="class", data=dtm_ip) > Is there anything wrong with my approach? > > Thanks for the help in advance. > -Ajit > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Decision-tree-model-using-rpart-classification-tp3989162p3989162.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > [[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.
