Classifier chains is a machine learning method for problem transformation in multi-label classification. It combines the computational efficiency of the binary relevance method while still being able to take the label dependencies into account for classification.[1]
- ^ Read, Jesse; Bernhard Pfahringer; Geoff Holmes; Eibe Frank (2009). "Classifier Chains for Multi-label Classification" (PDF). Proc 13th European Conference on Principles and Practice of Knowledge Discovery in Databases and 20th European Conference on Machine Learning. 2009.