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Rules provide model transparency, a window on the inner workings of the model. Rules show the basis for the model's predictions. Oracle Data Mining supports a high level of model transparency.
Confidence and support are used to rank the rules generated by the decision tree;
Support is the number of records in the training data set that satisfy the rule.
Confidence is the likelihood of the predicted outcome, given that the rule has been satisfied.