- machine learning
One versus one vs. One versus all in classification models
Rebecca Merrett
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