 It is based on ideas from the AQ algorithm and the ID3 algorithm.As a consequence it creates a rule set like that created by AQ but is able to handle noisy data like ID3.The algorithm must be given a set of examples, TrainingSet, which have already been classified in order to generate a list of classification rules.