Hi, I am developing a cross sell model based on response to a previous campaign. The issue that I have is I am modelling a rare event where the proportion of responders is only 6% compared to non responders of 94%. Having done some research. I over sampled to get a 50-50% distribution (keeping all responders).The proc logistic model runs well and produces probability scores which look good. But, I know that this needs to be adjusted as they are not representative of the overall population of non responders.. I have tried different methods as suggested in SAS forums ( weighting/offset/prior probabilities) and all of them dramatically reduce the predicted probabilities..Is there way a to maintain the predicted scores as they are with over sampling?Any help is much appreciated.. Thanks..
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