out of sample regression testing with sas studio

[catkat96]

I am very very very new to SAS and to be fair I haven't learnt from the start, I was just thrown into producing regressions, so I am not very acquainted with the language. 

I have two excel datasets, one for training and one for testing the regression.

What I want to know is how to use the fitted logistic regression to "predict" the classes for the test set. 

I am not running these regressions by writing the code myself, I am simply adjusting the settings. Nonetheless, here's the code that I get

from training the logistic regression:

ods noproctitle;
ods graphics / imagemap=on;

proc logistic data=WORK.TRAIN2 plots=(roc);
	class checking_1 checking_23 savings_1 savings_23 amount_to1400 
		amount_1400to1600 amount_1600to2200 amount_2200to3800 purpose_189 purpose_26 
		purpose_05 / param=glm;
	model Good(event='1')=checking_1 checking_23 savings_1 savings_23 
		amount_to1400 amount_1400to1600 amount_1600to2200 amount_2200to3800 
		purpose_189 purpose_26 purpose_05 / link=logit technique=fisher;
run;

My test dataset is called TEST2. How can I achieve this? 

[Reeza]

Here's a blog post that illustrates 4 different ways of doing this. Don't try PLM if this is all new to you.

https://blogs.sas.com/content/iml/2014/02/19/scoring-a-regression-model-in-sas.html

There's also a full example in the documentation for PROC LOGISTIC (see the little link under the heading to the full code so you can run and test the example).

https://documentation.sas.com/?docsetId=statug&docsetVersion=15.1&docsetTarget=statug_logistic_examp...

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@catkat96 wrote:

I am very very very new to SAS and to be fair I haven't learnt from the start, I was just thrown into producing regressions, so I am not very acquainted with the language. 

I have two excel datasets, one for training and one for testing the regression.

What I want to know is how to use the fitted logistic regression to "predict" the classes for the test set. 

I am not running these regressions by writing the code myself, I am simply adjusting the settings. Nonetheless, here's the code that I get

from training the logistic regression:

ods noproctitle;
ods graphics / imagemap=on;

proc logistic data=WORK.TRAIN2 plots=(roc);
	class checking_1 checking_23 savings_1 savings_23 amount_to1400 
		amount_1400to1600 amount_1600to2200 amount_2200to3800 purpose_189 purpose_26 
		purpose_05 / param=glm;
	model Good(event='1')=checking_1 checking_23 savings_1 savings_23 
		amount_to1400 amount_1400to1600 amount_1600to2200 amount_2200to3800 
		purpose_189 purpose_26 purpose_05 / link=logit technique=fisher;
run;

My test dataset is called TEST2. How can I achieve this? 

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[catkat96]

Thank you so much! The second link was really useful and now I can do it for logistic regression. 

I also need to do the same for linear regression (with the same datasets too), but I find that the initial code is a bit different, so I'm not sure the outmodel/inmodel thing works. 

Do you happen to have a link to the documentation that explains this too?

[Reeza]

The PROC SCORE documentation has one for PROC REG.
https://documentation.sas.com/?docsetId=statug&docsetVersion=14.3&docsetTarget=statug_score_examples...