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AI & Machine Learning · Intermediate

Multiclass Classification

Classification where each input is assigned to exactly one of three or more classes.

Definition

Multiclass models usually end with a softmax layer that produces a probability distribution over classes, and the highest-probability class is chosen. Multilabel classification differs because an input can belong to several classes at once. Metrics are often macro- or micro-averaged across classes.

Example

Classifying support tickets as billing, technical, account or shipping.

Exam tip

Softmax pairs with multiclass (one label); independent sigmoids pair with multilabel (many labels).

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