Computation times

01:37.171 total execution time for auto_examples_model_selection files:

Plotting Learning Curves and Checking Models’ Scalability (plot_learning_curve.py)	00:36.320	0.0 MB
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV (plot_multi_metric_evaluation.py)	00:13.088	0.0 MB
Test with permutations the significance of a classification score (plot_permutation_tests_for_classification.py)	00:08.659	0.0 MB
Custom refit strategy of a grid search with cross-validation (plot_grid_search_digits.py)	00:08.274	0.0 MB
Comparison between grid search and successive halving (plot_successive_halving_heatmap.py)	00:05.358	0.0 MB
Train error vs Test error (plot_train_error_vs_test_error.py)	00:04.727	0.0 MB
Balance model complexity and cross-validated score (plot_grid_search_refit_callable.py)	00:04.224	0.0 MB
Nested versus non-nested cross-validation (plot_nested_cross_validation_iris.py)	00:04.190	0.0 MB
Successive Halving Iterations (plot_successive_halving_iterations.py)	00:03.611	0.0 MB
Comparing randomized search and grid search for hyperparameter estimation (plot_randomized_search.py)	00:02.917	0.0 MB
Class Likelihood Ratios to measure classification performance (plot_likelihood_ratios.py)	00:02.026	0.0 MB
Statistical comparison of models using grid search (plot_grid_search_stats.py)	00:01.082	0.0 MB
Visualizing cross-validation behavior in scikit-learn (plot_cv_indices.py)	00:00.791	0.0 MB
Multiclass Receiver Operating Characteristic (ROC) (plot_roc.py)	00:00.537	0.0 MB
Plotting Validation Curves (plot_validation_curve.py)	00:00.385	0.0 MB
Precision-Recall (plot_precision_recall.py)	00:00.280	0.0 MB
Underfitting vs. Overfitting (plot_underfitting_overfitting.py)	00:00.160	0.0 MB
Receiver Operating Characteristic (ROC) with cross validation (plot_roc_crossval.py)	00:00.149	0.0 MB
Detection error tradeoff (DET) curve (plot_det.py)	00:00.140	0.0 MB
Confusion matrix (plot_confusion_matrix.py)	00:00.136	0.0 MB
Plotting Cross-Validated Predictions (plot_cv_predict.py)	00:00.116	0.0 MB
Sample pipeline for text feature extraction and evaluation (plot_grid_search_text_feature_extraction.py)	00:00.002	0.0 MB