8. The at least one computer program of claim 1 , further comprising: wherein the training data comprises a plurality of disjoint subsets of cases; the at least one first distribution comprises a distribution of scores for positive cases determined for each subset; and the at least one second distribution comprises a distribution of scores for negative cases determined for each subset.
9. The at least one computer program of claim 8 , further comprising: assigning a case to a subset based on one of clustering, an association with a predetermined category, an indication that the case is considered positive for a category other than the category for which the classifier is trained, a label associated with the case, a data value associated with the case, and a decision made by the classifier.