.. _example_plot_xor.py:


===============================================
Factorization machine decision boundary for XOR
===============================================

Plots the decision function learned by a factorization machine for a noisy
non-linearly separable XOR problem

This problem is a perfect example of feature interactions. As such,
factorization machines can model it very robustly with a very small number of
parameters.  (In this case, n_features * n_components = 2 * 1 = 2 params.)

Example based on:
http://scikit-learn.org/stable/auto_examples/svm/plot_svm_nonlinear.html



.. image:: images/plot_xor_001.png
    :align: center




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

.. literalinclude:: plot_xor.py
    :lines: 16-

**Total running time of the example:**  3.57 seconds
( 0 minutes  3.57 seconds)