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This segment discusses strategies of extending the present binary classifiers to solve multi-class classification issues. Several algorithms are actually made according to neural networks, final decision trees, k-nearest neighbors, naive Bayes, help vector machines and Severe Studying devices to deal with multi-course classification problems. most