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The votes are combined by the Multi-Naive Bayes algorithm to output a final classification for all the Naive Bayes. [0065] According to the exemplary embodiment, the data may be divided evenly into several sets, e.g. six sets, by putting each ith line in the binary into the (i mod n)th set where n is the number of sets.
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