Question

Select the correct option which directly achieve multi-class classification (without support of binary classifiers)

Answer 1

Vector Machines





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Answer 2

Multi-class or multinomial classification is a major problem In the process of machine learning, of classifying instances into one of three or more classes.

Hence, Classifying instances into one of the two classes is termed as binary classification.

While some classification algorithms naturally allow the use of multiple classes, others are by nature are binary algorithms.

However, these can, however, can be diverted into multinomial classifiers by adopting a variety of strategies.

Without the support of binary classifiers the direct achievers of multi-class classification are described below :

•    Extreme learning machines

•    k-nearest neighbors

•    Naive Bayes

•    Decision trees

•    1.2.5 Support vector machines.