Multi-label Problem Transformation Methods: a Case Study
Traditional classification algorithms consider learning problems that contain only one label, i.e., each example is associated with one single nominal target variable characterizing its property.However, the number of practical applications involving data with multiple target variables has increased.To learn from this sort of data, multi-label clas