PROC HPSPLIT with a unbalanced outcome and 3 categories

plf515 — Thu, 19 Jul 2018 21:41:35 GMT

Hello

With PROC HPSPLIT there are some options for dealing with dichotomous outcome variables that are very unbalanced. But what if the outcome has 3 (or more) levels and they are unbalanced? I could not find any options to deal with this. For instance, using SAS 9.4 on Windows I did this:

data new;
        set sashelp.bweight;
        count + 1;

		if weight < 1500 then bwcat = "1: Very low";
		else if weight < 2500 then bwcat = "2: low";
		else bwcat = "3: Normal";
run;

and then

proc hpsplit data = new seed = 123;
   class black boy married momedlevel momsmoke bwcat;
   model bwcat = black boy married momedlevel momsmoke momage momwtgain visit cigsperday;
   output out=hpsplout;
run;

the result is not good. None of the very low BW babies are correctly classified, and less than 2% of the low BW babies are correctly classified. For a dichotomous outcome, we can play with the sensitivity level in scoring, but that has no real analogue here.

Any thoughts or suggestions are welcome.

Peter

topic PROC HPSPLIT with a unbalanced outcome and 3 categories in Statistical Procedures

PROC HPSPLIT with a unbalanced outcome and 3 categories