What is multiclass classification?

Updated May 15, 2026

Short answer

Multiclass classification assigns inputs to one of more than two classes.

Deep explanation

It extends binary classification using strategies like one-vs-rest or softmax outputs in neural networks.

Real-world example

Classifying images of animals into cat, dog, or horse.

Common mistakes

  • Using binary classifiers without adaptation.

Follow-up questions

  • What is one-vs-rest strategy?

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