.. _example_gaussian_process_plot_gpc_xor.py:


========================================================================
Illustration of Gaussian process classification (GPC) on the XOR dataset
========================================================================

This example illustrates GPC on XOR data. Compared are a stationary, isotropic
kernel (RBF) and a non-stationary kernel (DotProduct). On this particular
dataset, the DotProduct kernel obtains considerably better results because the
class-boundaries are linear and coincide with the coordinate axes. In general,
stationary kernels often obtain better results.



.. image:: images/plot_gpc_xor_001.png
    :align: center




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

.. literalinclude:: plot_gpc_xor.py
    :lines: 12-

**Total running time of the example:**  1.77 seconds
( 0 minutes  1.77 seconds)