This section discusses methods of extending the prevailing binary classifiers to resolve multi-class classification problems. Several algorithms have already been developed dependant on neural networks, final decision trees, k-closest neighbors, naive Bayes, guidance vector devices and Serious Discovering machines to handle multi-class classificati
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