.. _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:** 0.29 seconds ( 0 minutes 0.29 seconds)