6. The method of claim 5 , wherein the selection criterion comprises one of: a topmost category including a class value or predicted value having a highest associated probability, top N categories including N class values having highest associated probabilities, bottom N categories including N class values having lowest associated probabilities, or all categories including all class values with associated probabilities.
5. The method of claim 4 , further comprising the step of: validating the received scoring data to ensure active attributes and a target attribute specified for the data mining model are present in the received scoring data and the source attributes specified for the multi-category apply output are present in the input data.