How does SVM handle multi-label classification?

SVM handles multi-label problems using problem transformation or binary relevance methods.

Multi-label classification assigns multiple labels per instance. SVM is adapted using One-vs-Rest per label or binary relevance approaches. Each label is treated as independent binary classification problem.