.. _example_tree_plot_tree_regression.py: =================================================================== Decision Tree Regression =================================================================== A 1D regression with decision tree. The :ref:`decision trees ` is used to fit a sine curve with addition noisy observation. As a result, it learns local linear regressions approximating the sine curve. We can see that if the maximum depth of the tree (controlled by the `max_depth` parameter) is set too high, the decision trees learn too fine details of the training data and learn from the noise, i.e. they overfit. .. image:: images/plot_tree_regression_001.png :align: center **Python source code:** :download:`plot_tree_regression.py ` .. literalinclude:: plot_tree_regression.py :lines: 16- **Total running time of the example:** 0.14 seconds ( 0 minutes 0.14 seconds)