Multi-Label Classification

In multi-label classification, each instance can belong to multiple classes, unlike traditional single-label classification. This approach is useful for problems like image tagging and text categorization, where an item may belong to more than one category. Techniques for multi-label classification include problem transformation methods and algorithm adaptation.