Hi,
I used k-fold cross validation in the proc forest statement. In the Cross-Validation Fit Statistics output table I can only see the average squared error etc. for each fold. Is there a way to output other statitistics (such as AUC or accuracy) for each fold?
Thank you in advance!
I suggest posting the code you are currently using. That way someone more familiar can tell if a needed option is already present or suggest the changes needed, if possible.
Hello,
See here :
SAS Visual Data Mining and Machine Learning Programming Guide
Machine Learning Tools Action Set
proc cas noqueue; mltools.crossValidateML ...
Cross Validation of a Forest Model
https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/casactml/casactml_mltools_example01.htm
There are some more CV fit statistics !
Koen
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