This section discusses approaches of extending the prevailing binary classifiers to unravel multi-class classification difficulties. various algorithms are already made depending on neural networks, determination trees, k-nearest neighbors, naive Bayes, aid vector equipment and Serious Understanding machines to deal with multi-class classification
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