An assumption of modeling is that the behavior of the known outcome, such as the accepted, declined, and rejected cases, is a guide to the behavior of any case falling into the same interval or category. However, if there were few similar cases with the known behavior, the behavior may not be a reliable basis because some policy rule was in operation to reject cases, and therefore accepts were exceptional in some unknown way. This analysis is used in outcome inferencing to temper the probabilities assigned to unknowns.

1. In the Target behavior box, enter the inference you want to set. Click Apply.
2. In the Graphical view tab, review the change in the inferred behavior against the target behavior.

What to do next: If the results are different from your business requirements, review the predictors marked as having significant policy effects in the Data analysis step. For more information, see Analyzing data.