Question

Select the correct option that directly achieves multi-class classification (without support of binary classifiers).

Answer 1

In machine learning, multi class or multinomial classification is the problem of classifying instances into one of three or more classes. (Classifying instances into one of the two classes is called binary classification.)

While some classification algorithms naturally permit the use of more than two classes, others are by nature binary algorithms; these can, however, be turned into multinomial classifiers by a variety of strategies.

without support of binary classifiers the directly achievers of multi-class classification are

1.2.1.1 Extreme learning machines

1.2.2 k-nearest neighbours

1.2.3 Naive Bayes

1.2.4 Decision trees

1.2.5 Support vector machines

1.3 Hierarchical classification

Answer 2

Answer:

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.

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

Explanation: