Multi-label classification is a machine learning prediction problem in which multiple binary variables (i.e. labels) are being predicted. Orange offers a limited number of methods for this task.
Multi-label data is represented as :ref:`multi-target data <multiple-classes>` with discrete binary classes with values '0' and '1'. Multi-target data is also supported by Orange's tab file format using :ref:`multiclass directive <tab-delimited>`.
.. automodule:: Orange.multilabel.br
.. automodule:: Orange.multilabel.lp
.. automodule:: Orange.multilabel.multiknn
.. automodule:: Orange.multilabel.mlknn
.. automodule:: Orange.multilabel.brknn