G06N99005
Please help me predict the CPC LABEL for this patentPATENT ABSTRACT: Assessment of selectivity of categorization rules. One or more categorization rules are applied to a set of un-categorized objects to produce a categorization result set representing assignment of objects the set into at least two categories. A selectivity score for the at least one categorization rule is obtained based on statistical information. The numerical selectivity score represents an estimation of accuracy of the at least one categorization rule, and is produced as a result of application of at least one trained selectivity determination algorithm, which is based on application of a plurality of specially-selected categorization rules to a set of pre-categorized training data, with the application of each one producing a uniform grouping of objects.