An extensive experimental comparison of methods for multi-label learning

  title={An extensive experimental comparison of methods for multi-label learning},
  author={Gjorgji Madjarov and Dragi Kocev and Dejan Gjorgjevikj and Saso Dzeroski},
  journal={Pattern Recognition},
Multi-label learning has received significant attention in the research community over the past few years: this has resulted in the development of a variety of multi-label learning methods. In this paper, we present an extensive experimental comparison of 12 multi-label learning methods using 16 evaluation measures over 11 benchmark datasets. We selected the competing methods based on their previous usage by the community, the representation of different groups of methods and the variety of… CONTINUE READING
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