Post on a statistics or data mining discussion site (e.g. stats.stackexchange.com). There are tons of different algorithms for fitting decision trees, and you are more likely to get an informative discussion on their relative strengths and weaknesses there than here. This is really NOT an R question.
-- Bert Also, see below for a comment. On Tue, Jun 5, 2012 at 1:42 PM, VikR <[email protected]> wrote: > A client has inquired about producing a decision tree from data which could > include: > > - ID of brand purchased > - Importance ratings (1-10 scale) for a number of relevant attributes > (price, strength, recommended by a friend, etc.) In other words, a rating > of how important each attribute is in the decision as to which brand to > purchase. > > I've just run a test decision tree using the closest thing to a similar data > set, that I have at hand . But only one attribute was selected for > plotting. I used the "Tree" package for this test. > > Question: > - Does one usually get good decision trees using data of this kind? ??? Define: "one" (who?) Define: "usually" Define: "good" Define: "data of this kind" > > Thanks very much in advance to all for any info. > > -- > View this message in context: > http://r.789695.n4.nabble.com/Good-Decision-Trees-with-Product-Purchased-Data-tp4632438.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > [email protected] 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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ [email protected] 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.
