38. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 36 , wherein the outputted representation is a matrix of averages of probabilities of the conclusion states for implicated conclusions versus a selected set of combinations of conclusion states; whereby a user can determine an accuracy of the BN model's propensity to yield proper conclusions.
36. An apparatus for automatically evaluating Bayesian network models for decision support, as set forth in claim 35 , wherein the outputted representation is a complete representation of probabilities of states for all conclusions given a particular set of combinations of conclusion states.