There are about 2000 cases, and while many of the outcome variables are nearly evenly distributed between outcomes 0 and 1, some of the outcomes are considered "

*rare*", where 1 occurs only 10% of the time and 0 occurs 90% of the time.

This ends up in a classification table that can correctly predict a 0 outcome up to 95% of the time, but correctly predicts a 1 outcome only 20% of the time. It is important to the research that each model reliably predicts both 1 and 0 outcomes

**It seems necessary to somehow re-sample the cases where outcome=0 so that outcomes of 1 and 0 are nearly equal.**

Can this be done efficiently in SPSS? Is there a command or protocol somewhere for this?

Can this be done efficiently in SPSS? Is there a command or protocol somewhere for this?

Thanks in advance for any help with this!!!