print.randomModel

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.

Adriano Rivolli

print.randomModel: Print Random model

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