Multi-class logistic regression is an extension technique that allows you to predict a class that can be one of three or more possible values. An example of multi-class classification is predicting ...

The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, for example "low," "medium" or "high" for a person's annual income.

A multi-class classification problem is one where the goal is to predict the value of a variable where there are three or more discrete possibilities. For example, you might want to predict the ...

The Data Science Lab. Multi-Class Classification Using PyTorch: Defining a Network. Dr. James McCaffrey of Microsoft Research explains how to define a network in installment No. 2 of his four-part ...

For example, you could have small, medium, large, and xlarge, or you might have a rating system based on one to five stars. Each of these levels can be considered a class as well. The objective of ...

Multi-label Classification is a classification problem where multiple labels may be assigned to each instance. Zero, one or multiple labels can be associated with an instance(or example). It is more ...