Multiclass Classification: Understanding And Implementing With Machine Learning

Multiclass classification is a type of supervised machine learning algorithm that is used to classify data into multiple classes. It is different from binary classification, which only classifies data into two classes. This article discusses the basics of multiclass classification, how it works, and how to implement it with machine learning. It also discusses some of the challenges associated with multiclass classification and how to overcome them. Finally, it provides some examples of successful applications of multiclass classification.