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/ Webinars / One Versus One vs. One Versus All in Classification Models

One Versus One vs. One Versus All in Classification Models

In this quick overview, we introduce you to the concepts of one-versus-one and one-versus-all in classification. In classification models, you will often want to predict one class from another. This is called binary classification, or one-versus-one. But what if you have more than two classes to predict? This is where one-versus-all is introduced.

What you’ll learn

  • Difference between one-versus-one and one-versus-all classification techniques
  • Where to use a particular classification technique

Featured Speakers

Rebecca Merrett

Rebecca holds a bachelor’s degree of information and media from the University of Technology Sydney and a post graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in technical writing for games dev and has written for tech publications.

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