:orphan:

.. _sphx_glr_sg_execution_times:


Computation times
=================
**24:46.763** total execution time for 293 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_release_highlights_plot_release_highlights_0_24_0.py` (``../examples/release_highlights/plot_release_highlights_0_24_0.py``)
     - 01:16.647
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_outlier_detection_bench.py` (``../examples/miscellaneous/plot_outlier_detection_bench.py``)
     - 01:11.432
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_cost_sensitive_learning.py` (``../examples/model_selection/plot_cost_sensitive_learning.py``)
     - 01:10.994
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py` (``../examples/ensemble/plot_forest_hist_grad_boosting_comparison.py``)
     - 00:59.661
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``../examples/compose/plot_compare_reduction.py``)
     - 00:43.397
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_early_stopping.py` (``../examples/linear_model/plot_sgd_early_stopping.py``)
     - 00:35.421
     - 0.0
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_select_from_model_diabetes.py` (``../examples/feature_selection/plot_select_from_model_diabetes.py``)
     - 00:34.068
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_tuned_decision_threshold.py` (``../examples/model_selection/plot_tuned_decision_threshold.py``)
     - 00:33.487
     - 0.0
   * - :ref:`sphx_glr_auto_examples_kernel_approximation_plot_scalable_poly_kernels.py` (``../examples/kernel_approximation/plot_scalable_poly_kernels.py``)
     - 00:33.011
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``../examples/preprocessing/plot_target_encoder.py``)
     - 00:29.568
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``../examples/decomposition/plot_image_denoising.py``)
     - 00:29.329
     - 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``)
     - 00:28.564
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_partial_dependence.py` (``../examples/inspection/plot_partial_dependence.py``)
     - 00:26.039
     - 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``)
     - 00:25.374
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_stack_predictors.py` (``../examples/ensemble/plot_stack_predictors.py``)
     - 00:25.247
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``../examples/model_selection/plot_learning_curve.py``)
     - 00:25.091
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_hgbt_regression.py` (``../examples/ensemble/plot_hgbt_regression.py``)
     - 00:23.797
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``../examples/applications/plot_face_recognition.py``)
     - 00:22.561
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multiclass_plot_multiclass_overview.py` (``../examples/multiclass/plot_multiclass_overview.py``)
     - 00:20.856
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``../examples/applications/plot_model_complexity_influence.py``)
     - 00:20.345
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``../examples/applications/plot_prediction_latency.py``)
     - 00:18.536
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_swissroll.py` (``../examples/manifold/plot_swissroll.py``)
     - 00:18.204
     - 0.0
   * - :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``../examples/bicluster/plot_bicluster_newsgroups.py``)
     - 00:17.022
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``../examples/svm/plot_svm_scale_c.py``)
     - 00:16.758
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_lle_digits.py` (``../examples/manifold/plot_lle_digits.py``)
     - 00:16.434
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py` (``../examples/inspection/plot_linear_model_coefficient_interpretation.py``)
     - 00:16.180
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``../examples/cluster/plot_hdbscan.py``)
     - 00:15.043
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``../examples/applications/plot_cyclical_feature_engineering.py``)
     - 00:14.255
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_mnist.py` (``../examples/linear_model/plot_sparse_logistic_regression_mnist.py``)
     - 00:14.123
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``../examples/applications/plot_species_distribution_modeling.py``)
     - 00:13.489
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_compare_methods.py` (``../examples/manifold/plot_compare_methods.py``)
     - 00:13.179
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_time_series_lagged_features.py` (``../examples/applications/plot_time_series_lagged_features.py``)
     - 00:12.517
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``../examples/applications/plot_digits_denoising.py``)
     - 00:12.346
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``../examples/applications/plot_topics_extraction_with_nmf_lda.py``)
     - 00:11.672
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``../examples/model_selection/plot_permutation_tests_for_classification.py``)
     - 00:11.587
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``../examples/applications/plot_out_of_core_classification.py``)
     - 00:11.438
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_ridge_regression.py` (``../examples/miscellaneous/plot_kernel_ridge_regression.py``)
     - 00:10.750
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_johnson_lindenstrauss_bound.py` (``../examples/miscellaneous/plot_johnson_lindenstrauss_bound.py``)
     - 00:10.436
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_tweedie_regression_insurance_claims.py` (``../examples/linear_model/plot_tweedie_regression_insurance_claims.py``)
     - 00:10.216
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``../examples/neural_networks/plot_mnist_filters.py``)
     - 00:10.113
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``../examples/model_selection/plot_grid_search_digits.py``)
     - 00:10.106
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_quantile.py` (``../examples/ensemble/plot_gradient_boosting_quantile.py``)
     - 00:09.952
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``../examples/applications/plot_tomography_l1_reconstruction.py``)
     - 00:09.917
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_oob.py` (``../examples/ensemble/plot_gradient_boosting_oob.py``)
     - 00:09.808
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_missing_values.py` (``../examples/impute/plot_missing_values.py``)
     - 00:08.730
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_comparison.py` (``../examples/linear_model/plot_sgd_comparison.py``)
     - 00:08.681
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regularization.py` (``../examples/ensemble/plot_gradient_boosting_regularization.py``)
     - 00:08.508
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``../examples/decomposition/plot_faces_decomposition.py``)
     - 00:08.489
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``../examples/preprocessing/plot_all_scaling.py``)
     - 00:08.356
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``../examples/model_selection/plot_multi_metric_evaluation.py``)
     - 00:08.272
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``../examples/classification/plot_lda.py``)
     - 00:08.215
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``../examples/applications/plot_stock_market.py``)
     - 00:07.963
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc_iris.py` (``../examples/gaussian_process/plot_gpc_iris.py``)
     - 00:07.581
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``../examples/text/plot_document_clustering.py``)
     - 00:07.287
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``../examples/model_selection/plot_successive_halving_heatmap.py``)
     - 00:07.257
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``../examples/semi_supervised/plot_semi_supervised_newsgroups.py``)
     - 00:07.218
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``../examples/cluster/plot_cluster_comparison.py``)
     - 00:07.030
     - 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``)
     - 00:06.803
     - 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``)
     - 00:06.729
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_iris.py` (``../examples/ensemble/plot_forest_iris.py``)
     - 00:06.647
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_20newsgroups.py` (``../examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py``)
     - 00:06.547
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_co2.py` (``../examples/gaussian_process/plot_gpr_co2.py``)
     - 00:06.406
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``../examples/text/plot_document_classification_20newsgroups.py``)
     - 00:06.353
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``../examples/cluster/plot_coin_segmentation.py``)
     - 00:06.245
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``../examples/model_selection/plot_nested_cross_validation_iris.py``)
     - 00:06.168
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy.py` (``../examples/gaussian_process/plot_gpr_noisy.py``)
     - 00:06.129
     - 0.0
   * - :ref:`sphx_glr_auto_examples_mixture_plot_concentration_prior.py` (``../examples/mixture/plot_concentration_prior.py``)
     - 00:05.986
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_manifold_sphere.py` (``../examples/manifold/plot_manifold_sphere.py``)
     - 00:05.889
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_categorical.py` (``../examples/ensemble/plot_gradient_boosting_categorical.py``)
     - 00:05.822
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_iterative_imputer_variants_comparison.py` (``../examples/impute/plot_iterative_imputer_variants_comparison.py``)
     - 00:05.663
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``../examples/semi_supervised/plot_self_training_varying_threshold.py``)
     - 00:05.543
     - 0.0
   * - :ref:`sphx_glr_auto_examples_exercises_plot_iris_exercise.py` (``../examples/exercises/plot_iris_exercise.py``)
     - 00:05.377
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``../examples/svm/plot_rbf_parameters.py``)
     - 00:05.306
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``../examples/text/plot_hashing_vs_dict_vectorizer.py``)
     - 00:05.147
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance.py` (``../examples/inspection/plot_permutation_importance.py``)
     - 00:05.087
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_compare_gpr_krr.py` (``../examples/gaussian_process/plot_compare_gpr_krr.py``)
     - 00:04.824
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``../examples/cluster/plot_inductive_clustering.py``)
     - 00:04.779
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance_multicollinear.py` (``../examples/inspection/plot_permutation_importance_multicollinear.py``)
     - 00:04.740
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``../examples/model_selection/plot_randomized_search.py``)
     - 00:04.697
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``../examples/multioutput/plot_classifier_chain_yeast.py``)
     - 00:04.600
     - 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``)
     - 00:04.586
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``../examples/model_selection/plot_successive_halving_iterations.py``)
     - 00:04.580
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``../examples/neighbors/plot_digits_kde_sampling.py``)
     - 00:04.576
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_multiclass.py` (``../examples/ensemble/plot_adaboost_multiclass.py``)
     - 00:04.528
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``../examples/cluster/plot_birch_vs_minibatchkmeans.py``)
     - 00:04.327
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_ensemble_oob.py` (``../examples/ensemble/plot_ensemble_oob.py``)
     - 00:03.901
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``../examples/cluster/plot_dict_face_patches.py``)
     - 00:03.591
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``../examples/neighbors/plot_species_kde.py``)
     - 00:03.586
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_anomaly_comparison.py` (``../examples/miscellaneous/plot_anomaly_comparison.py``)
     - 00:03.541
     - 0.0
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_rfe_digits.py` (``../examples/feature_selection/plot_rfe_digits.py``)
     - 00:03.449
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``../examples/decomposition/plot_pca_vs_fa_model_selection.py``)
     - 00:03.435
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py` (``../examples/ensemble/plot_gradient_boosting_early_stopping.py``)
     - 00:03.425
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``../examples/preprocessing/plot_discretization_classification.py``)
     - 00:03.412
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_t_sne_perplexity.py` (``../examples/manifold/plot_t_sne_perplexity.py``)
     - 00:03.171
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``../examples/neural_networks/plot_mlp_training_curves.py``)
     - 00:03.163
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``../examples/neural_networks/plot_rbm_logistic_classification.py``)
     - 00:03.147
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``../examples/covariance/plot_robust_vs_empirical_covariance.py``)
     - 00:03.073
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_feature_transformation.py` (``../examples/ensemble/plot_feature_transformation.py``)
     - 00:03.001
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_causal_interpretation.py` (``../examples/inspection/plot_causal_interpretation.py``)
     - 00:02.896
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``../examples/calibration/plot_compare_calibration.py``)
     - 00:02.870
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_partial_dependence_visualization_api.py` (``../examples/miscellaneous/plot_partial_dependence_visualization_api.py``)
     - 00:02.766
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``../examples/compose/plot_column_transformer.py``)
     - 00:02.539
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``../examples/cluster/plot_kmeans_digits.py``)
     - 00:02.494
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``../examples/calibration/plot_calibration_curve.py``)
     - 00:02.472
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``../examples/covariance/plot_lw_vs_oas.py``)
     - 00:02.413
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``../examples/cluster/plot_face_compress.py``)
     - 00:02.400
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc.py` (``../examples/gaussian_process/plot_gpc.py``)
     - 00:02.334
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_classification_probability.py` (``../examples/classification/plot_classification_probability.py``)
     - 00:02.314
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``../examples/classification/plot_classifier_comparison.py``)
     - 00:02.285
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``../examples/cluster/plot_agglomerative_clustering.py``)
     - 00:02.275
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``../examples/cluster/plot_linkage_comparison.py``)
     - 00:02.045
     - 0.0
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     - 00:01.976
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   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_map_data_to_normal.py` (``../examples/preprocessing/plot_map_data_to_normal.py``)
     - 00:01.973
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     - 00:01.958
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   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_alpha.py` (``../examples/neural_networks/plot_mlp_alpha.py``)
     - 00:01.933
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   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_display_object_visualization.py` (``../examples/miscellaneous/plot_display_object_visualization.py``)
     - 00:01.923
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     - 00:01.876
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   * - :ref:`sphx_glr_auto_examples_linear_model_plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py` (``../examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py``)
     - 00:01.784
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     - 00:01.589
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     - 00:01.478
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     - 00:01.468
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     - 00:01.466
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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``)
     - 00:01.388
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     - 00:01.352
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     - 00:01.315
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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``)
     - 00:01.307
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     - 00:01.211
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     - 00:01.159
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     - 00:01.124
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     - 00:01.090
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     - 00:00.991
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     - 00:00.950
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     - 00:00.937
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     - 00:00.932
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     - 00:00.863
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     - 00:00.764
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     - 00:00.762
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     - 00:00.716
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     - 00:00.672
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     - 00:00.671
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     - 00:00.660
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     - 00:00.612
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     - 00:00.590
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     - 00:00.574
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     - 00:00.563
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     - 00:00.559
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     - 00:00.558
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     - 00:00.553
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     - 00:00.543
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     - 00:00.537
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     - 00:00.537
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     - 00:00.530
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     - 00:00.528
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     - 00:00.526
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     - 00:00.522
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     - 00:00.514
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     - 00:00.511
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     - 00:00.509
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     - 00:00.503
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     - 00:00.497
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     - 00:00.492
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     - 00:00.465
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     - 00:00.461
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     - 00:00.459
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     - 00:00.451
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     - 00:00.451
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     - 00:00.450
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     - 00:00.447
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     - 00:00.441
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     - 00:00.435
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     - 00:00.427
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     - 00:00.416
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     - 00:00.407
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     - 00:00.404
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     - 00:00.399
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     - 00:00.394
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     - 00:00.387
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     - 00:00.378
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     - 00:00.376
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     - 00:00.357
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     - 00:00.352
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     - 00:00.340
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     - 00:00.337
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     - 00:00.334
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     - 00:00.332
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     - 00:00.323
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     - 00:00.314
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     - 00:00.314
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     - 00:00.307
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   * - :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``../examples/cluster/plot_affinity_propagation.py``)
     - 00:00.298
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     - 00:00.294
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     - 00:00.283
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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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     - 00:00.269
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     - 00:00.235
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     - 00:00.235
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   * - :ref:`sphx_glr_auto_examples_neighbors_plot_regression.py` (``../examples/neighbors/plot_regression.py``)
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   * - :ref:`sphx_glr_auto_examples_tree_plot_tree_regression_multioutput.py` (``../examples/tree/plot_tree_regression_multioutput.py``)
     - 00:00.233
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   * - :ref:`sphx_glr_auto_examples_linear_model_plot_omp.py` (``../examples/linear_model/plot_omp.py``)
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     - 00:00.210
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     - 00:00.206
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   * - :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_lda.py` (``../examples/decomposition/plot_pca_vs_lda.py``)
     - 00:00.204
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     - 00:00.203
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   * - :ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py` (``../examples/model_selection/plot_underfitting_overfitting.py``)
     - 00:00.202
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     - 00:00.191
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     - 00:00.176
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     - 00:00.156
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     - 00:00.126
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     - 00:00.114
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     - 00:00.103
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     - 00:00.083
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     - 00:00.071
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     - 00:00.048
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     - 00:00.015
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