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I have a variable X15 that varies from .001 to 10,000 or so and I'd like to construct classes that are unbalanced to another variable, Y, that is either 1 or 0, so that each class will have more of (Y=0) or of (Y=1). All I want is the output from some PROC in 9.3 that will tell me what the bins should be. I've tried PROC SPLIT, PROC DMSPLIT, and PROC ARBORETUM, but PROC PRINTing all the output data sets doesn't give me a clue.

How do I get the splitting values for, say, 5 splits into 6 bins of my X15 data using a decision tree? An arbitrary number of splitting values is preferred, I just can't figure out how to extract that data from a PROC statement.

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    $\begingroup$ Why not use a continuous approach that has much better statistical operating characteristics? $\endgroup$
    – Frank Harrell
    Commented Jul 29, 2013 at 20:35

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SAS STAT does not have a PROC that does decision trees. You could export your data to R, which does, or else you need to buy Enterprise Miner in SAS; if you have that, then see e.g. this paper

But, like @FrankHarrell I am not sure why you want a tree.

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  • $\begingroup$ It turns out I can do it in the JMP client that I am using to access the SAS server. We are learning a continuous approach this week in class, so I will have the correct tool to use. $\endgroup$
    – Dave Babbitt
    Commented Jul 31, 2013 at 0:00

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