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This segment discusses procedures of extending the prevailing binary classifiers to resolve multi-class classification challenges. many algorithms happen to be designed dependant on neural networks, selection trees, k-closest neighbors, naive Bayes, guidance vector devices and extreme Mastering machines to handle multi-class classification troubles