
:orphan:

.. _sphx_glr_auto_examples_ensemble_sg_execution_times:

Computation times
=================
**01:06.565** total execution time for **auto_examples_ensemble** files:

+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_hastie_10_2.py` (``plot_adaboost_hastie_10_2.py``)                                 | 00:14.636 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_quantile.py` (``plot_gradient_boosting_quantile.py``)                     | 00:13.632 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_multiclass.py` (``plot_adaboost_multiclass.py``)                                   | 00:05.997 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_oob.py` (``plot_gradient_boosting_oob.py``)                               | 00:05.623 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regularization.py` (``plot_gradient_boosting_regularization.py``)         | 00:05.593 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_forest_iris.py` (``plot_forest_iris.py``)                                                   | 00:05.168 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_ensemble_oob.py` (``plot_ensemble_oob.py``)                                                 | 00:03.162 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py` (``plot_gradient_boosting_early_stopping.py``)         | 00:02.904 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_ensemble_plot_feature_transformation.py` (``plot_feature_transformation.py``)                             | 00:02.749 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_ensemble_plot_forest_importances.py` (``plot_forest_importances.py``)                                     | 00:01.288 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regression.py` (``plot_gradient_boosting_regression.py``)                 | 00:00.916 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_bias_variance.py` (``plot_bias_variance.py``)                                               | 00:00.892 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_ensemble_plot_voting_regressor.py` (``plot_voting_regressor.py``)                                         | 00:00.747 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_monotonic_constraints.py` (``plot_monotonic_constraints.py``)                               | 00:00.544 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_ensemble_plot_isolation_forest.py` (``plot_isolation_forest.py``)                                         | 00:00.487 | 0.0 MB |
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| :ref:`sphx_glr_auto_examples_ensemble_plot_voting_decision_regions.py` (``plot_voting_decision_regions.py``)                           | 00:00.452 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_random_forest_regression_multioutput.py` (``plot_random_forest_regression_multioutput.py``) | 00:00.450 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_twoclass.py` (``plot_adaboost_twoclass.py``)                                       | 00:00.408 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_regression.py` (``plot_adaboost_regression.py``)                                   | 00:00.347 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_random_forest_embedding.py` (``plot_random_forest_embedding.py``)                           | 00:00.283 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_voting_probas.py` (``plot_voting_probas.py``)                                               | 00:00.280 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_stack_predictors.py` (``plot_stack_predictors.py``)                                         | 00:00.002 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_categorical.py` (``plot_gradient_boosting_categorical.py``)               | 00:00.002 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_ensemble_plot_forest_importances_faces.py` (``plot_forest_importances_faces.py``)                         | 00:00.002 | 0.0 MB |
+----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
