Now showing items 1-2 of 2

  • Efficient online evaluation of big data stream classifiers

    Bifet, Albert; de Francisci Morales, Gianmarco; Read, Jess; Holmes, Geoff; Pfahringer, Bernhard (ACM, 2015)
    The evaluation of classifiers in data streams is fundamental so that poorly-performing models can be identified, and either improved or replaced by better-performing models. This is an increasingly relevant and important ...
  • MEKA: A multi-label/multi-target extension to WEKA

    Read, Jesse; Reutemann, Peter; Pfahringer, Bernhard; Holmes, Geoff (2016)
    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 ...