.. _example_gaussian_process_plot_gpc_iris.py:


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Gaussian process classification (GPC) on iris dataset
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This example illustrates the predicted probability of GPC for an isotropic
and anisotropic RBF kernel on a two-dimensional version for the iris-dataset.
The anisotropic RBF kernel obtains slightly higher log-marginal-likelihood by
assigning different length-scales to the two feature dimensions.



.. image:: images/plot_gpc_iris_001.png
    :align: center




**Python source code:** :download:`plot_gpc_iris.py <plot_gpc_iris.py>`

.. literalinclude:: plot_gpc_iris.py
    :lines: 11-

**Total running time of the example:**  27.07 seconds
( 0 minutes  27.07 seconds)