:orphan:

.. _sphx_glr_sg_execution_times:


Computation times
=================
**22:08.868** total execution time for 279 files **from all galleries**:

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  .. list-table::
   :header-rows: 1
   :class: table table-striped sg-datatable

   * - Example
     - Time
     - Mem (MB)
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_select_from_model_diabetes.py` (``../examples/feature_selection/plot_select_from_model_diabetes.py``)
     - 01:07.406
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py` (``../examples/ensemble/plot_forest_hist_grad_boosting_comparison.py``)
     - 01:00.742
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``../examples/compose/plot_compare_reduction.py``)
     - 00:47.397
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_outlier_detection_bench.py` (``../examples/miscellaneous/plot_outlier_detection_bench.py``)
     - 00:47.381
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_tuned_decision_threshold.py` (``../examples/model_selection/plot_tuned_decision_threshold.py``)
     - 00:37.419
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py` (``../examples/model_selection/plot_grid_search_text_feature_extraction.py``)
     - 00:32.410
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_cost_sensitive_learning.py` (``../examples/model_selection/plot_cost_sensitive_learning.py``)
     - 00:31.994
     - 0.0
   * - :ref:`sphx_glr_auto_examples_kernel_approximation_plot_scalable_poly_kernels.py` (``../examples/kernel_approximation/plot_scalable_poly_kernels.py``)
     - 00:31.046
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``../examples/model_selection/plot_learning_curve.py``)
     - 00:28.401
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_partial_dependence.py` (``../examples/inspection/plot_partial_dependence.py``)
     - 00:28.313
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``../examples/decomposition/plot_image_denoising.py``)
     - 00:26.685
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_early_stopping.py` (``../examples/linear_model/plot_sgd_early_stopping.py``)
     - 00:25.885
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_stack_predictors.py` (``../examples/ensemble/plot_stack_predictors.py``)
     - 00:25.642
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``../examples/preprocessing/plot_target_encoder.py``)
     - 00:24.115
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_hgbt_regression.py` (``../examples/ensemble/plot_hgbt_regression.py``)
     - 00:23.783
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_lle_digits.py` (``../examples/manifold/plot_lle_digits.py``)
     - 00:21.933
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_poisson_regression_non_normal_loss.py` (``../examples/linear_model/plot_poisson_regression_non_normal_loss.py``)
     - 00:21.591
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multiclass_plot_multiclass_overview.py` (``../examples/multiclass/plot_multiclass_overview.py``)
     - 00:20.581
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``../examples/svm/plot_svm_scale_c.py``)
     - 00:20.096
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_compare_methods.py` (``../examples/manifold/plot_compare_methods.py``)
     - 00:18.599
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``../examples/applications/plot_prediction_latency.py``)
     - 00:18.473
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_swissroll.py` (``../examples/manifold/plot_swissroll.py``)
     - 00:17.824
     - 0.0
   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_24_0.py` (``../examples/release_highlights/plot_release_highlights_0_24_0.py``)
     - 00:15.976
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``../examples/cluster/plot_hdbscan.py``)
     - 00:15.383
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``../examples/applications/plot_cyclical_feature_engineering.py``)
     - 00:15.269
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py` (``../examples/inspection/plot_linear_model_coefficient_interpretation.py``)
     - 00:14.014
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``../examples/model_selection/plot_permutation_tests_for_classification.py``)
     - 00:13.590
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``../examples/applications/plot_topics_extraction_with_nmf_lda.py``)
     - 00:12.086
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_mnist.py` (``../examples/linear_model/plot_sparse_logistic_regression_mnist.py``)
     - 00:11.606
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_tweedie_regression_insurance_claims.py` (``../examples/linear_model/plot_tweedie_regression_insurance_claims.py``)
     - 00:10.970
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``../examples/neural_networks/plot_mnist_filters.py``)
     - 00:10.897
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_johnson_lindenstrauss_bound.py` (``../examples/miscellaneous/plot_johnson_lindenstrauss_bound.py``)
     - 00:10.763
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_quantile.py` (``../examples/ensemble/plot_gradient_boosting_quantile.py``)
     - 00:10.697
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_time_series_lagged_features.py` (``../examples/applications/plot_time_series_lagged_features.py``)
     - 00:10.522
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_oob.py` (``../examples/ensemble/plot_gradient_boosting_oob.py``)
     - 00:10.502
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``../examples/model_selection/plot_grid_search_digits.py``)
     - 00:09.863
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``../examples/applications/plot_tomography_l1_reconstruction.py``)
     - 00:09.698
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_missing_values.py` (``../examples/impute/plot_missing_values.py``)
     - 00:09.478
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``../examples/preprocessing/plot_all_scaling.py``)
     - 00:09.188
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``../examples/classification/plot_lda.py``)
     - 00:08.912
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regularization.py` (``../examples/ensemble/plot_gradient_boosting_regularization.py``)
     - 00:08.828
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``../examples/model_selection/plot_multi_metric_evaluation.py``)
     - 00:08.538
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_ridge_regression.py` (``../examples/miscellaneous/plot_kernel_ridge_regression.py``)
     - 00:08.508
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``../examples/applications/plot_out_of_core_classification.py``)
     - 00:08.392
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_manifold_sphere.py` (``../examples/manifold/plot_manifold_sphere.py``)
     - 00:08.342
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``../examples/text/plot_document_clustering.py``)
     - 00:08.061
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``../examples/semi_supervised/plot_semi_supervised_newsgroups.py``)
     - 00:07.887
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``../examples/model_selection/plot_successive_halving_heatmap.py``)
     - 00:07.770
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``../examples/decomposition/plot_faces_decomposition.py``)
     - 00:07.574
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``../examples/model_selection/plot_nested_cross_validation_iris.py``)
     - 00:07.440
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_iris.py` (``../examples/ensemble/plot_forest_iris.py``)
     - 00:07.130
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``../examples/applications/plot_digits_denoising.py``)
     - 00:07.120
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``../examples/text/plot_document_classification_20newsgroups.py``)
     - 00:07.013
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``../examples/applications/plot_species_distribution_modeling.py``)
     - 00:06.762
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy.py` (``../examples/gaussian_process/plot_gpr_noisy.py``)
     - 00:06.652
     - 0.0
   * - :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``../examples/bicluster/plot_bicluster_newsgroups.py``)
     - 00:06.445
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``../examples/cluster/plot_cluster_comparison.py``)
     - 00:06.428
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``../examples/applications/plot_stock_market.py``)
     - 00:06.358
     - 0.0
   * - :ref:`sphx_glr_auto_examples_mixture_plot_concentration_prior.py` (``../examples/mixture/plot_concentration_prior.py``)
     - 00:06.332
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``../examples/applications/plot_face_recognition.py``)
     - 00:06.322
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_20newsgroups.py` (``../examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py``)
     - 00:06.251
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``../examples/cluster/plot_kmeans_digits.py``)
     - 00:06.208
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_iterative_imputer_variants_comparison.py` (``../examples/impute/plot_iterative_imputer_variants_comparison.py``)
     - 00:06.054
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``../examples/model_selection/plot_successive_halving_iterations.py``)
     - 00:05.932
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``../examples/applications/plot_model_complexity_influence.py``)
     - 00:05.695
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance_multicollinear.py` (``../examples/inspection/plot_permutation_importance_multicollinear.py``)
     - 00:05.692
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``../examples/semi_supervised/plot_self_training_varying_threshold.py``)
     - 00:05.591
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py` (``../examples/model_selection/plot_train_error_vs_test_error.py``)
     - 00:05.563
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` (``../examples/svm/plot_svm_regression.py``)
     - 00:05.530
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``../examples/text/plot_hashing_vs_dict_vectorizer.py``)
     - 00:05.446
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance.py` (``../examples/inspection/plot_permutation_importance.py``)
     - 00:05.387
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``../examples/svm/plot_rbf_parameters.py``)
     - 00:05.298
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``../examples/cluster/plot_coin_segmentation.py``)
     - 00:05.294
     - 0.0
   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_2_0.py` (``../examples/release_highlights/plot_release_highlights_1_2_0.py``)
     - 00:05.285
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_compare_gpr_krr.py` (``../examples/gaussian_process/plot_compare_gpr_krr.py``)
     - 00:05.018
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_co2.py` (``../examples/gaussian_process/plot_gpr_co2.py``)
     - 00:04.986
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_multiclass.py` (``../examples/ensemble/plot_adaboost_multiclass.py``)
     - 00:04.660
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``../examples/model_selection/plot_randomized_search.py``)
     - 00:04.349
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py` (``../examples/ensemble/plot_gradient_boosting_early_stopping.py``)
     - 00:04.323
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_ensemble_oob.py` (``../examples/ensemble/plot_ensemble_oob.py``)
     - 00:04.305
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``../examples/neighbors/plot_digits_kde_sampling.py``)
     - 00:04.258
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_categorical.py` (``../examples/ensemble/plot_gradient_boosting_categorical.py``)
     - 00:04.099
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``../examples/preprocessing/plot_discretization_classification.py``)
     - 00:03.994
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``../examples/cluster/plot_birch_vs_minibatchkmeans.py``)
     - 00:03.544
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_anomaly_comparison.py` (``../examples/miscellaneous/plot_anomaly_comparison.py``)
     - 00:03.504
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``../examples/neighbors/plot_species_kde.py``)
     - 00:03.463
     - 0.0
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_rfe_digits.py` (``../examples/feature_selection/plot_rfe_digits.py``)
     - 00:03.349
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``../examples/decomposition/plot_pca_vs_fa_model_selection.py``)
     - 00:03.161
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``../examples/calibration/plot_compare_calibration.py``)
     - 00:03.125
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_t_sne_perplexity.py` (``../examples/manifold/plot_t_sne_perplexity.py``)
     - 00:03.124
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_feature_transformation.py` (``../examples/ensemble/plot_feature_transformation.py``)
     - 00:03.092
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc_iris.py` (``../examples/gaussian_process/plot_gpc_iris.py``)
     - 00:02.888
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``../examples/neural_networks/plot_mlp_training_curves.py``)
     - 00:02.877
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``../examples/classification/plot_classification_probability.py``)
     - 00:02.836
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``../examples/cluster/plot_inductive_clustering.py``)
     - 00:02.822
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``../examples/covariance/plot_robust_vs_empirical_covariance.py``)
     - 00:02.675
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_partial_dependence_visualization_api.py` (``../examples/miscellaneous/plot_partial_dependence_visualization_api.py``)
     - 00:02.672
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``../examples/neural_networks/plot_rbm_logistic_classification.py``)
     - 00:02.654
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``../examples/compose/plot_column_transformer.py``)
     - 00:02.605
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``../examples/covariance/plot_lw_vs_oas.py``)
     - 00:02.554
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``../examples/calibration/plot_calibration_curve.py``)
     - 00:02.477
     - 0.0
   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_4_0.py` (``../examples/release_highlights/plot_release_highlights_1_4_0.py``)
     - 00:02.340
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``../examples/cluster/plot_face_compress.py``)
     - 00:02.279
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``../examples/cluster/plot_dict_face_patches.py``)
     - 00:02.267
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``../examples/classification/plot_classifier_comparison.py``)
     - 00:02.261
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``../examples/decomposition/plot_pca_iris.py``)
     - 00:02.242
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_causal_interpretation.py` (``../examples/inspection/plot_causal_interpretation.py``)
     - 00:02.227
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc.py` (``../examples/gaussian_process/plot_gpc.py``)
     - 00:02.197
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``../examples/multioutput/plot_classifier_chain_yeast.py``)
     - 00:02.136
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``../examples/model_selection/plot_likelihood_ratios.py``)
     - 00:02.113
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``../examples/neighbors/plot_nca_dim_reduction.py``)
     - 00:02.107
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     - 00:02.086
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   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``../examples/preprocessing/plot_map_data_to_normal.py``)
     - 00:02.074
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   * - :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``../examples/cluster/plot_linkage_comparison.py``)
     - 00:01.989
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   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``../examples/neural_networks/plot_mlp_alpha.py``)
     - 00:01.965
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     - 00:01.919
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     - 00:01.890
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     - 00:01.775
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   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_multioutput_face_completion.py` (``../examples/miscellaneous/plot_multioutput_face_completion.py``)
     - 00:01.755
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     - 00:01.736
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   * - :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``../examples/cluster/plot_optics.py``)
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     - 00:01.620
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     - 00:01.591
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     - 00:01.521
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   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_0_22_0.py` (``../examples/release_highlights/plot_release_highlights_0_22_0.py``)
     - 00:01.504
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     - 00:01.503
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   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_3_0.py` (``../examples/release_highlights/plot_release_highlights_1_3_0.py``)
     - 00:01.500
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     - 00:01.470
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     - 00:01.375
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     - 00:01.372
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     - 00:01.370
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     - 00:01.325
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     - 00:01.295
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   * - :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_dense_vs_sparse_data.py` (``../examples/linear_model/plot_lasso_dense_vs_sparse_data.py``)
     - 00:01.259
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     - 00:01.250
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     - 00:01.134
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     - 00:01.131
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     - 00:01.125
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     - 00:01.110
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     - 00:01.090
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     - 00:01.036
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   * - :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` (``../examples/svm/plot_svm_tie_breaking.py``)
     - 00:01.003
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   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_1_0.py` (``../examples/release_highlights/plot_release_highlights_1_1_0.py``)
     - 00:00.994
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     - 00:00.955
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   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_versus_svm_iris.py` (``../examples/semi_supervised/plot_semi_supervised_versus_svm_iris.py``)
     - 00:00.934
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     - 00:00.912
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     - 00:00.879
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     - 00:00.850
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     - 00:00.846
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     - 00:00.811
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     - 00:00.797
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     - 00:00.797
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     - 00:00.748
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     - 00:00.739
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     - 00:00.718
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     - 00:00.703
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     - 00:00.681
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     - 00:00.660
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     - 00:00.657
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     - 00:00.645
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     - 00:00.642
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     - 00:00.642
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     - 00:00.619
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     - 00:00.586
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     - 00:00.577
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     - 00:00.559
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     - 00:00.555
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     - 00:00.547
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     - 00:00.538
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     - 00:00.535
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     - 00:00.531
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     - 00:00.531
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     - 00:00.518
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     - 00:00.501
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     - 00:00.497
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     - 00:00.492
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     - 00:00.485
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     - 00:00.468
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     - 00:00.464
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     - 00:00.463
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     - 00:00.460
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     - 00:00.457
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     - 00:00.455
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     - 00:00.450
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     - 00:00.449
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     - 00:00.444
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     - 00:00.438
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     - 00:00.436
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     - 00:00.434
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     - 00:00.433
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     - 00:00.414
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     - 00:00.396
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     - 00:00.385
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     - 00:00.384
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     - 00:00.379
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     - 00:00.378
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     - 00:00.376
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     - 00:00.372
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     - 00:00.371
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     - 00:00.368
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     - 00:00.353
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     - 00:00.336
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   * - :ref:`sphx_glr_auto_examples_manifold_plot_mds.py` (``../examples/manifold/plot_mds.py``)
     - 00:00.335
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     - 00:00.333
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     - 00:00.332
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     - 00:00.323
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     - 00:00.318
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     - 00:00.301
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     - 00:00.301
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     - 00:00.283
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     - 00:00.280
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     - 00:00.275
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   * - :ref:`sphx_glr_auto_examples_linear_model_plot_multi_task_lasso_support.py` (``../examples/linear_model/plot_multi_task_lasso_support.py``)
     - 00:00.259
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     - 00:00.252
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   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_on_structured_data.py` (``../examples/gaussian_process/plot_gpr_on_structured_data.py``)
     - 00:00.239
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     - 00:00.237
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     - 00:00.235
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   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization.py` (``../examples/preprocessing/plot_discretization.py``)
     - 00:00.233
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   * - :ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py` (``../examples/model_selection/plot_confusion_matrix.py``)
     - 00:00.231
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   * - :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``../examples/neighbors/plot_regression.py``)
     - 00:00.227
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   * - :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``../examples/model_selection/plot_underfitting_overfitting.py``)
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     - 00:00.205
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