:orphan:

.. _sphx_glr_sg_execution_times:


Computation times
=================
**25:32.931** total execution time for 281 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``)
     - 01:17.695
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_outlier_detection_bench.py` (``../examples/miscellaneous/plot_outlier_detection_bench.py``)
     - 01:06.323
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_cost_sensitive_learning.py` (``../examples/model_selection/plot_cost_sensitive_learning.py``)
     - 00:58.898
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py` (``../examples/ensemble/plot_forest_hist_grad_boosting_comparison.py``)
     - 00:57.589
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py` (``../examples/compose/plot_compare_reduction.py``)
     - 00:51.332
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_out_of_core_classification.py` (``../examples/applications/plot_out_of_core_classification.py``)
     - 00:42.884
     - 0.0
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_select_from_model_diabetes.py` (``../examples/feature_selection/plot_select_from_model_diabetes.py``)
     - 00:36.823
     - 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``)
     - 00:34.984
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_tuned_decision_threshold.py` (``../examples/model_selection/plot_tuned_decision_threshold.py``)
     - 00:33.308
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_early_stopping.py` (``../examples/linear_model/plot_sgd_early_stopping.py``)
     - 00:32.990
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_target_encoder.py` (``../examples/preprocessing/plot_target_encoder.py``)
     - 00:31.037
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py` (``../examples/model_selection/plot_learning_curve.py``)
     - 00:28.903
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_image_denoising.py` (``../examples/decomposition/plot_image_denoising.py``)
     - 00:26.760
     - 0.0
   * - :ref:`sphx_glr_auto_examples_kernel_approximation_plot_scalable_poly_kernels.py` (``../examples/kernel_approximation/plot_scalable_poly_kernels.py``)
     - 00:26.481
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_stack_predictors.py` (``../examples/ensemble/plot_stack_predictors.py``)
     - 00:25.547
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_partial_dependence.py` (``../examples/inspection/plot_partial_dependence.py``)
     - 00:24.343
     - 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``)
     - 00:24.317
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multiclass_plot_multiclass_overview.py` (``../examples/multiclass/plot_multiclass_overview.py``)
     - 00:24.107
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_hgbt_regression.py` (``../examples/ensemble/plot_hgbt_regression.py``)
     - 00:23.187
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_lle_digits.py` (``../examples/manifold/plot_lle_digits.py``)
     - 00:22.639
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_face_recognition.py` (``../examples/applications/plot_face_recognition.py``)
     - 00:22.141
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_model_complexity_influence.py` (``../examples/applications/plot_model_complexity_influence.py``)
     - 00:20.311
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_cyclical_feature_engineering.py` (``../examples/applications/plot_cyclical_feature_engineering.py``)
     - 00:19.632
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` (``../examples/svm/plot_svm_scale_c.py``)
     - 00:19.168
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_prediction_latency.py` (``../examples/applications/plot_prediction_latency.py``)
     - 00:18.795
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_compare_methods.py` (``../examples/manifold/plot_compare_methods.py``)
     - 00:18.491
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_swissroll.py` (``../examples/manifold/plot_swissroll.py``)
     - 00:17.879
     - 0.0
   * - :ref:`sphx_glr_auto_examples_bicluster_plot_bicluster_newsgroups.py` (``../examples/bicluster/plot_bicluster_newsgroups.py``)
     - 00:15.176
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py` (``../examples/model_selection/plot_permutation_tests_for_classification.py``)
     - 00:15.062
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py` (``../examples/inspection/plot_linear_model_coefficient_interpretation.py``)
     - 00:14.993
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` (``../examples/applications/plot_species_distribution_modeling.py``)
     - 00:14.416
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_hdbscan.py` (``../examples/cluster/plot_hdbscan.py``)
     - 00:13.889
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_topics_extraction_with_nmf_lda.py` (``../examples/applications/plot_topics_extraction_with_nmf_lda.py``)
     - 00:13.646
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_digits_denoising.py` (``../examples/applications/plot_digits_denoising.py``)
     - 00:12.803
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_oob.py` (``../examples/ensemble/plot_gradient_boosting_oob.py``)
     - 00:11.407
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_johnson_lindenstrauss_bound.py` (``../examples/miscellaneous/plot_johnson_lindenstrauss_bound.py``)
     - 00:11.037
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_time_series_lagged_features.py` (``../examples/applications/plot_time_series_lagged_features.py``)
     - 00:10.519
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_quantile.py` (``../examples/ensemble/plot_gradient_boosting_quantile.py``)
     - 00:10.495
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_missing_values.py` (``../examples/impute/plot_missing_values.py``)
     - 00:10.492
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py` (``../examples/model_selection/plot_grid_search_digits.py``)
     - 00:10.403
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mnist_filters.py` (``../examples/neural_networks/plot_mnist_filters.py``)
     - 00:10.237
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_tweedie_regression_insurance_claims.py` (``../examples/linear_model/plot_tweedie_regression_insurance_claims.py``)
     - 00:10.085
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc_iris.py` (``../examples/gaussian_process/plot_gpc_iris.py``)
     - 00:09.736
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py` (``../examples/applications/plot_tomography_l1_reconstruction.py``)
     - 00:09.715
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_all_scaling.py` (``../examples/preprocessing/plot_all_scaling.py``)
     - 00:08.972
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py` (``../examples/model_selection/plot_multi_metric_evaluation.py``)
     - 00:08.840
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_mnist.py` (``../examples/linear_model/plot_sparse_logistic_regression_mnist.py``)
     - 00:08.640
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_manifold_sphere.py` (``../examples/manifold/plot_manifold_sphere.py``)
     - 00:08.592
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sgd_comparison.py` (``../examples/linear_model/plot_sgd_comparison.py``)
     - 00:08.495
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_faces_decomposition.py` (``../examples/decomposition/plot_faces_decomposition.py``)
     - 00:08.446
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py` (``../examples/model_selection/plot_successive_halving_heatmap.py``)
     - 00:08.411
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_kernel_ridge_regression.py` (``../examples/miscellaneous/plot_kernel_ridge_regression.py``)
     - 00:08.403
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_regularization.py` (``../examples/ensemble/plot_gradient_boosting_regularization.py``)
     - 00:08.277
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_lda.py` (``../examples/classification/plot_lda.py``)
     - 00:07.911
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_semi_supervised_newsgroups.py` (``../examples/semi_supervised/plot_semi_supervised_newsgroups.py``)
     - 00:07.712
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_clustering.py` (``../examples/text/plot_document_clustering.py``)
     - 00:07.687
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py` (``../examples/model_selection/plot_nested_cross_validation_iris.py``)
     - 00:07.420
     - 0.0
   * - :ref:`sphx_glr_auto_examples_applications_plot_stock_market.py` (``../examples/applications/plot_stock_market.py``)
     - 00:07.330
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_forest_iris.py` (``../examples/ensemble/plot_forest_iris.py``)
     - 00:07.001
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py` (``../examples/text/plot_document_classification_20newsgroups.py``)
     - 00:06.944
     - 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``)
     - 00:06.649
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py` (``../examples/model_selection/plot_successive_halving_iterations.py``)
     - 00:06.555
     - 0.0
   * - :ref:`sphx_glr_auto_examples_mixture_plot_concentration_prior.py` (``../examples/mixture/plot_concentration_prior.py``)
     - 00:06.552
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_sparse_logistic_regression_20newsgroups.py` (``../examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py``)
     - 00:06.478
     - 0.0
   * - :ref:`sphx_glr_auto_examples_impute_plot_iterative_imputer_variants_comparison.py` (``../examples/impute/plot_iterative_imputer_variants_comparison.py``)
     - 00:06.381
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_co2.py` (``../examples/gaussian_process/plot_gpr_co2.py``)
     - 00:06.326
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``../examples/cluster/plot_cluster_comparison.py``)
     - 00:06.256
     - 0.0
   * - :ref:`sphx_glr_auto_examples_semi_supervised_plot_self_training_varying_threshold.py` (``../examples/semi_supervised/plot_self_training_varying_threshold.py``)
     - 00:06.220
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``../examples/cluster/plot_coin_segmentation.py``)
     - 00:05.999
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy.py` (``../examples/gaussian_process/plot_gpr_noisy.py``)
     - 00:05.942
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_categorical.py` (``../examples/ensemble/plot_gradient_boosting_categorical.py``)
     - 00:05.807
     - 0.0
   * - :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` (``../examples/svm/plot_rbf_parameters.py``)
     - 00:05.641
     - 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``)
     - 00:05.496
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance.py` (``../examples/inspection/plot_permutation_importance.py``)
     - 00:05.468
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance_multicollinear.py` (``../examples/inspection/plot_permutation_importance_multicollinear.py``)
     - 00:05.454
     - 0.0
   * - :ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py` (``../examples/text/plot_hashing_vs_dict_vectorizer.py``)
     - 00:05.308
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_compare_gpr_krr.py` (``../examples/gaussian_process/plot_compare_gpr_krr.py``)
     - 00:05.278
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py` (``../examples/model_selection/plot_randomized_search.py``)
     - 00:05.146
     - 0.0
   * - :ref:`sphx_glr_auto_examples_multioutput_plot_classifier_chain_yeast.py` (``../examples/multioutput/plot_classifier_chain_yeast.py``)
     - 00:04.748
     - 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``)
     - 00:04.644
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_adaboost_multiclass.py` (``../examples/ensemble/plot_adaboost_multiclass.py``)
     - 00:04.586
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_digits_kde_sampling.py` (``../examples/neighbors/plot_digits_kde_sampling.py``)
     - 00:04.565
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``../examples/cluster/plot_kmeans_digits.py``)
     - 00:04.543
     - 0.0
   * - :ref:`sphx_glr_auto_examples_preprocessing_plot_discretization_classification.py` (``../examples/preprocessing/plot_discretization_classification.py``)
     - 00:04.258
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_ensemble_oob.py` (``../examples/ensemble/plot_ensemble_oob.py``)
     - 00:04.050
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``../examples/cluster/plot_birch_vs_minibatchkmeans.py``)
     - 00:03.644
     - 0.0
   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_rfe_digits.py` (``../examples/feature_selection/plot_rfe_digits.py``)
     - 00:03.631
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_species_kde.py` (``../examples/neighbors/plot_species_kde.py``)
     - 00:03.597
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_gradient_boosting_early_stopping.py` (``../examples/ensemble/plot_gradient_boosting_early_stopping.py``)
     - 00:03.590
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``../examples/cluster/plot_dict_face_patches.py``)
     - 00:03.466
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_anomaly_comparison.py` (``../examples/miscellaneous/plot_anomaly_comparison.py``)
     - 00:03.465
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` (``../examples/covariance/plot_robust_vs_empirical_covariance.py``)
     - 00:03.273
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_pca_vs_fa_model_selection.py` (``../examples/decomposition/plot_pca_vs_fa_model_selection.py``)
     - 00:03.199
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_compare_calibration.py` (``../examples/calibration/plot_compare_calibration.py``)
     - 00:03.082
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_mlp_training_curves.py` (``../examples/neural_networks/plot_mlp_training_curves.py``)
     - 00:03.081
     - 0.0
   * - :ref:`sphx_glr_auto_examples_manifold_plot_t_sne_perplexity.py` (``../examples/manifold/plot_t_sne_perplexity.py``)
     - 00:03.074
     - 0.0
   * - :ref:`sphx_glr_auto_examples_decomposition_plot_pca_iris.py` (``../examples/decomposition/plot_pca_iris.py``)
     - 00:02.996
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neural_networks_plot_rbm_logistic_classification.py` (``../examples/neural_networks/plot_rbm_logistic_classification.py``)
     - 00:02.917
     - 0.0
   * - :ref:`sphx_glr_auto_examples_ensemble_plot_feature_transformation.py` (``../examples/ensemble/plot_feature_transformation.py``)
     - 00:02.807
     - 0.0
   * - :ref:`sphx_glr_auto_examples_miscellaneous_plot_partial_dependence_visualization_api.py` (``../examples/miscellaneous/plot_partial_dependence_visualization_api.py``)
     - 00:02.780
     - 0.0
   * - :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` (``../examples/covariance/plot_lw_vs_oas.py``)
     - 00:02.712
     - 0.0
   * - :ref:`sphx_glr_auto_examples_calibration_plot_calibration_curve.py` (``../examples/calibration/plot_calibration_curve.py``)
     - 00:02.641
     - 0.0
   * - :ref:`sphx_glr_auto_examples_inspection_plot_causal_interpretation.py` (``../examples/inspection/plot_causal_interpretation.py``)
     - 00:02.600
     - 0.0
   * - :ref:`sphx_glr_auto_examples_compose_plot_column_transformer.py` (``../examples/compose/plot_column_transformer.py``)
     - 00:02.563
     - 0.0
   * - :ref:`sphx_glr_auto_examples_linear_model_plot_robust_fit.py` (``../examples/linear_model/plot_robust_fit.py``)
     - 00:02.404
     - 0.0
   * - :ref:`sphx_glr_auto_examples_classification_plot_classifier_comparison.py` (``../examples/classification/plot_classifier_comparison.py``)
     - 00:02.341
     - 0.0
   * - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpc.py` (``../examples/gaussian_process/plot_gpc.py``)
     - 00:02.298
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``../examples/cluster/plot_inductive_clustering.py``)
     - 00:02.263
     - 0.0
   * - :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``../examples/cluster/plot_face_compress.py``)
     - 00:02.188
     - 0.0
   * - :ref:`sphx_glr_auto_examples_neighbors_plot_nca_dim_reduction.py` (``../examples/neighbors/plot_nca_dim_reduction.py``)
     - 00:02.146
     - 0.0
   * - :ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py` (``../examples/model_selection/plot_likelihood_ratios.py``)
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     - 00:01.834
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     - 00:01.709
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   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_5_0.py` (``../examples/release_highlights/plot_release_highlights_1_5_0.py``)
     - 00:01.568
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     - 00:01.155
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     - 00:01.094
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     - 00:01.053
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     - 00:01.033
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     - 00:01.028
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     - 00:00.992
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     - 00:00.986
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     - 00:00.935
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     - 00:00.776
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     - 00:00.731
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     - 00:00.710
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     - 00:00.694
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     - 00:00.593
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     - 00:00.590
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     - 00:00.584
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     - 00:00.563
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     - 00:00.557
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     - 00:00.553
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     - 00:00.553
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     - 00:00.548
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     - 00:00.548
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     - 00:00.534
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     - 00:00.531
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     - 00:00.520
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     - 00:00.511
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     - 00:00.506
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     - 00:00.493
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     - 00:00.480
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     - 00:00.474
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     - 00:00.467
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     - 00:00.463
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     - 00:00.451
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     - 00:00.447
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     - 00:00.441
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     - 00:00.438
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     - 00:00.436
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     - 00:00.436
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     - 00:00.428
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     - 00:00.425
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     - 00:00.416
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     - 00:00.414
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     - 00:00.409
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     - 00:00.399
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     - 00:00.397
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     - 00:00.384
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     - 00:00.375
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     - 00:00.375
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     - 00:00.374
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     - 00:00.357
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     - 00:00.355
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     - 00:00.354
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     - 00:00.351
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     - 00:00.347
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     - 00:00.346
     - 0.0
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     - 00:00.344
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     - 00:00.338
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     - 00:00.311
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     - 00:00.302
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     - 00:00.288
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     - 00:00.281
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     - 00:00.276
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     - 00:00.275
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     - 00:00.270
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     - 00:00.265
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   * - :ref:`sphx_glr_auto_examples_feature_selection_plot_f_test_vs_mi.py` (``../examples/feature_selection/plot_f_test_vs_mi.py``)
     - 00:00.250
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     - 00:00.250
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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``)
     - 00:00.248
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     - 00:00.232
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     - 00:00.224
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     - 00:00.222
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     - 00:00.218
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     - 00:00.210
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   * - :ref:`sphx_glr_auto_examples_mixture_plot_gmm.py` (``../examples/mixture/plot_gmm.py``)
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     - 00:00.207
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   * - :ref:`sphx_glr_auto_examples_linear_model_plot_omp.py` (``../examples/linear_model/plot_omp.py``)
     - 00:00.202
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     - 00:00.200
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     - 00:00.199
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     - 00:00.196
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     - 00:00.186
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     - 00:00.186
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     - 00:00.184
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     - 00:00.176
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     - 00:00.168
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     - 00:00.165
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   * - :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``../examples/cluster/plot_dbscan.py``)
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     - 00:00.157
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     - 00:00.156
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     - 00:00.156
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     - 00:00.126
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     - 00:00.113
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     - 00:00.111
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     - 00:00.098
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     - 00:00.079
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     - 00:00.071
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     - 00:00.061
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     - 00:00.043
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     - 00:00.020
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   * - :ref:`sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_0_0.py` (``../examples/release_highlights/plot_release_highlights_1_0_0.py``)
     - 00:00.015
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     - 00:00.000
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   * - :ref:`sphx_glr_auto_examples_developing_estimators_sklearn_is_fitted.py` (``../examples/developing_estimators/sklearn_is_fitted.py``)
     - 00:00.000
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