orange-multitarget / docs / rst / Orange.multitarget.rst

Multi-target prediction (multitarget)

Multi-target prediction tries to achieve better prediction accuracy or speed through prediction of multiple dependent variables at once. It works on multi-target data, which is also supported by Orange's tab file format using multiclass directive.

List of supported learners:

Additionally :class:`orangecontrib.earth.EarthLearner` from the orangecontrib.earth package is also supports multi-target predictions.

For evaluation of multi-target methods, see the corresponding section in :doc:`Orange.multitarget.scoring`.

The addon also includes three sample datasets:

  • bridges.tab - dataset with 5 multi-class class variables
  • flare.tab - dataset with 3 multi-class class variables
  • emotions.tab - dataset with 6 binary class variables (a multi-label dataset)

Example of loading an included dataset:

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