24. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 23 , wherein the conclusion nodes are weighted by weights representing their importance; whereby the accuracy of the BN model's propensity to yield proper conclusions may be weighted for particular conclusions based on their relative importance.
23. An apparatus for automatically evaluating Bayesian network models for decision support as set forth in claim 22 , wherein the outputted representation is a graphical representation in the form of a two-dimensional intensity matrix and a three-dimensional bar chart.