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This area discusses techniques of extending the prevailing binary classifiers to resolve multi-course classification troubles. numerous algorithms have already been created determined by neural networks, final decision trees, k-closest neighbors, naive Bayes, support vector equipment and Serious learning devices to handle multi-class classification