# Multi-Label Classification

> Source: https://sukruyusufkaya.com/en/glossary/multi-label-classification
> Updated: 2026-05-13T20:00:18.312Z
> Type: glossary
> Category: makine-ogrenmesi
**TLDR:** A classification approach designed for problems in which a single instance can belong to multiple labels at once.

<p>Multi-label classification breaks the assumption that each instance belongs to only one class. Many real-world problems, including text tagging, medical diagnosis, image content labeling, and skill extraction, follow this structure. The goal is not only to identify which labels are correct, but also to understand the structure of label combinations. As a result, both evaluation metrics and modeling strategies differ from standard multiclass learning.</p>