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  • This version of MODLEM does not consider an important condition for developing decision rules from noisy datasets. As described in "J. Stefanowski, On combined Classifier, Rule Induction and Rough Sets, Transactions on rough sets VI, Pages 329-350" page 335, 2nd paragraph.".... For some datasets - in particular noisy ones - using this stop condition ([T] \subseteq B) may produce too specific rules. In such situations the user may accept partially discriminating rules with high enough accuracy, - this can be done by applying another stop condition [T \cup B]/ [T] >= \alpha..." It will be very useful if this Weka version includes the above modified stopping condition for the decision rule, allowing the user to select the value for the alpha parameter and therefore induce more general rules.
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