[R] Good Decision Trees with Product Purchased Data?
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? 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. __ 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.
Re: [R] Good Decision Trees with Product Purchased Data?
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 v...@mindspring.com 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. __ 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. -- 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 __ 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.
Re: [R] Good Decision Trees with Product Purchased Data?
Define: one (who?) The individual analyzing the data. Define: usually More than 50% of the time. Define: good A decision tree including branches on at least 2 variables. Define: data of this kind I believe I may have specified this in my original post: - 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. -- View this message in context: http://r.789695.n4.nabble.com/Good-Decision-Trees-with-Product-Purchased-Data-tp4632438p4632444.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.
