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Meka: a multi-label/multi-target extension to weka

2016; The MIT Press; Volume: 17; Issue: 1 Linguagem: Inglês

1533-7928

Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoffrey Holmes,

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Multi-label classification has rapidly attracted interest in the machine learning literature, and there are now a large number and considerable variety of methods for this type of learning. We present MEKA: an open-source Java framework based on the well-known WEKA library. MEKA provides interfaces to facilitate practical application, and a wealth of multi-label classifiers, evaluation metrics, and tools for multi-label experiments and development. It supports multi-label and multi-target data, including in incremental and semi-supervised contexts.