Correlation analysis of performance measures for multi-label classification.

•Evaluation measures have been used arbitrarily in multilabel classification experiments, without an objective analysis of correlation or bias.•A comprehensive and detailed analysis of the correlation that exists between multilabel measures is presented.•Hamming Loss is a highly recommended measure, as it is not correlated with others and it is the most employed measure in the literature.•At least 12 out of 16 multilabel measures adopted in the literature are highly correlated with each other.