A problem with oversampling and SMOTE in SAS Enterprise Miner/SAS

[Alirezax]

Hi, I have a heavily imbalanced dataset with the rare target level at around 1% (binary variable) and I have 20000 observations in my training set (200 rare events). I need to get a sample with ~40000 observations where 50% of them are the rare event. I tried to use the sample node and do the standard oversampling in enterprise miner (see screenshot) as described here https://support.sas.com/kb/24/205.html

But all I get is a sample of 400 with the original 200 rare events so it is basically doing undersampling rather than

oversampling...

I would also like to use SMOTE rather than simple duplications but I do not see the option on Enterprise Miner. I checked all the other posts on SMOTE including all the links here https://communities.sas.com/t5/Statistical-Procedures/Assistance-with-SAS-code-for-SMOTE-and-adaptiv... but the sample SAS codes are difficult to understand and apply.

Can anybody help me with these two issues?

PS. My dataset contains both numeric and character input (predictor) variables.

[WendyCzika]

Oversampling is a misnomer.  It is actually undersampling as you've experienced.