Computation times

01:20.267 total execution time for auto_examples_model_selection files:

Sample pipeline for text feature extraction and evaluation (plot_grid_search_text_feature_extraction.py)	00:19.099	0.0 MB
Plotting Learning Curves and Checking Models’ Scalability (plot_learning_curve.py)	00:09.283	0.0 MB
Test with permutations the significance of a classification score (plot_permutation_tests_for_classification.py)	00:07.528	0.0 MB
Custom refit strategy of a grid search with cross-validation (plot_grid_search_digits.py)	00:07.434	0.0 MB
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV (plot_multi_metric_evaluation.py)	00:06.045	0.0 MB
Train error vs Test error (plot_train_error_vs_test_error.py)	00:05.148	0.0 MB
Comparison between grid search and successive halving (plot_successive_halving_heatmap.py)	00:05.106	0.0 MB
Comparing randomized search and grid search for hyperparameter estimation (plot_randomized_search.py)	00:04.517	0.0 MB
Nested versus non-nested cross-validation (plot_nested_cross_validation_iris.py)	00:03.692	0.0 MB
Balance model complexity and cross-validated score (plot_grid_search_refit_callable.py)	00:03.103	0.0 MB
Successive Halving Iterations (plot_successive_halving_iterations.py)	00:03.035	0.0 MB
Class Likelihood Ratios to measure classification performance (plot_likelihood_ratios.py)	00:02.375	0.0 MB
Statistical comparison of models using grid search (plot_grid_search_stats.py)	00:00.972	0.0 MB
Visualizing cross-validation behavior in scikit-learn (plot_cv_indices.py)	00:00.803	0.0 MB
Plotting Validation Curves (plot_validation_curve.py)	00:00.742	0.0 MB
Multiclass Receiver Operating Characteristic (ROC) (plot_roc.py)	00:00.470	0.0 MB
Precision-Recall (plot_precision_recall.py)	00:00.306	0.0 MB
Underfitting vs. Overfitting (plot_underfitting_overfitting.py)	00:00.131	0.0 MB
Detection error tradeoff (DET) curve (plot_det.py)	00:00.121	0.0 MB
Plotting Cross-Validated Predictions (plot_cv_predict.py)	00:00.120	0.0 MB
Receiver Operating Characteristic (ROC) with cross validation (plot_roc_crossval.py)	00:00.119	0.0 MB
Confusion matrix (plot_confusion_matrix.py)	00:00.116	0.0 MB