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Class predictor

is constructed during maximal predictive classification, which is a way of constructing clusters of objects whose properties are described by binary variates (that is, variates that take one of two values, usually designated by zero and one). The class predictor contains an entry for each variate, storing the value that is more frequent in the class for that variate. (See CLUSTER).

Updated on December 4, 2017

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