Misclassification tables can be very misleading in rare event scenarios.   Those tables are typically built using either the default target profile (most likely outcome is the prediction) or a weighted outcome based on decision weights which you have entered (most valuable outcome is the one predicted).   In practice, you should look at the choosing a threshold for your decision after looking at how the model performs taking into consideration the different types of error you might make (e.g. is it more problematic to predict an 'event' as a 'non-event' or vice-versa?).   Your choice of the 'best' cutoff can change depending on your goal and the risk/reward associated with each outcome.    There is a good thread discussing some of your options at    https://communities.sas.com/t5/SAS-Data-Mining-and-Machine/A-Question-on-Modeling-Rare-Events-Data/m-p/374048#M5561    Hope this helps! Doug ... View more