utiml

Multi-label learning strategies and others procedures to support multi-label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) doi:10.1109/TKDE.2013.39 and Gibaja, E. and Ventura, S. (2015) A Tutorial on Multi-label Learning.

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