How to interactively create manually guided Decision Tree
You need to do some reading, both about decision trees and R! What you need to do for R is to use cut() on Age (?cut) to create a new categorical variable, ageCat, say, and then use that in your tree building instead of Age. Cheers, Bert
On Fri, Jun 14, 2013 at 7:24 AM, Neelesh Gupta <neelesh0 at gmail.com> wrote:
I am new in using R. I want to know all about building decision tree model
in R.
Few options which I searched are rpart and rattle to build a decision
tree.Both the functions are giving me splits which are statistically
appropriate.
But I am not able to figure out how to change those splits as per my
business requirement.
for example : the automatic split of Age by using rattle is > 30 and <= 30
but I want a split of <= 20 , 21-30 , 30-50 and >= 50
I also want to know how to know the predictive strength of each variable
after each split so that I can choose which variable should come next in my
list.
I
Thanks in advance
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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