1. A method for selecting output attributes for use in a decision tree from a set of possible output attributes comprising: determining an interestingness score for each output attribute based on the difference between the entropy of the output attribute E(A) and a most favored entropy value m; and selecting at least one output attribute for use in said decision tree from said set of possible output attributes based on said interestingness scores.