1. A method for multi-category apply in a data mining system, the method comprising the steps of: receiving scoring data including a plurality of rows of data applied to a data mining model and associated measures, including probabilities of predictions, ranks, quality of fit, or distance; and generating multi-category apply data including a plurality of class values meeting a selection criterion and their associated measures including probabilities of predictions, ranks, quality of fit or distance based on the received scoring data.