.. _book_fig_chapter9_fig_photoz_forest:


Photometric Redshifts by Random Forests
---------------------------------------
Figure 9.15

Photometric redshift estimation using random forest regression, with ten random
trees. Comparison to figure 9.14 shows that random forests correct for the
overfitting evident in very deep decision trees. Here the optimal depth is 20
or above, and a much better cross-validation error is achieved.



.. image:: ../images/chapter9/fig_photoz_forest_1.png
    :scale: 100
    :align: center


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.. literalinclude:: fig_photoz_forest.txt

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:download:`[download source: fig_photoz_forest.py] <fig_photoz_forest.py>`

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