.. _example_ensemble_plot_adaboost_regression.py:
======================================
Decision Tree Regression with AdaBoost
======================================
A decision tree is boosted using the AdaBoost.R2 [1] algorithm on a 1D
sinusoidal dataset with a small amount of Gaussian noise.
299 boosts (300 decision trees) is compared with a single decision tree
regressor. As the number of boosts is increased the regressor can fit more
detail.
.. [1] H. Drucker, "Improving Regressors using Boosting Techniques", 1997.
.. image:: images/plot_adaboost_regression_001.png
:align: center
**Python source code:** :download:`plot_adaboost_regression.py `
.. literalinclude:: plot_adaboost_regression.py
:lines: 15-
**Total running time of the example:** 0.44 seconds
( 0 minutes 0.44 seconds)