Computation times

04:03.917 total execution time for auto_examples_model_selection files:

Comparing randomized search and grid search for hyperparameter estimation (plot_randomized_search.py)	01:50.594	0.0 MB
Test with permutations the significance of a classification score (plot_permutation_tests_for_classification.py)	00:58.779	0.0 MB
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV (plot_multi_metric_evaluation.py)	00:24.891	0.0 MB
Plotting Validation Curves (plot_validation_curve.py)	00:12.984	0.0 MB
Successive Halving Iterations (plot_successive_halving_iterations.py)	00:07.280	0.0 MB
Comparison between grid search and successive halving (plot_successive_halving_heatmap.py)	00:06.383	0.0 MB
Plotting Learning Curves (plot_learning_curve.py)	00:05.930	0.0 MB
Balance model complexity and cross-validated score (plot_grid_search_refit_callable.py)	00:04.921	0.0 MB
Parameter estimation using grid search with cross-validation (plot_grid_search_digits.py)	00:03.633	0.0 MB
Nested versus non-nested cross-validation (plot_nested_cross_validation_iris.py)	00:03.371	0.0 MB
Train error vs Test error (plot_train_error_vs_test_error.py)	00:02.864	0.0 MB
Visualizing cross-validation behavior in scikit-learn (plot_cv_indices.py)	00:00.801	0.0 MB
Precision-Recall (plot_precision_recall.py)	00:00.288	0.0 MB
Confusion matrix (plot_confusion_matrix.py)	00:00.273	0.0 MB
Receiver Operating Characteristic (ROC) with cross validation (plot_roc_crossval.py)	00:00.268	0.0 MB
Receiver Operating Characteristic (ROC) (plot_roc.py)	00:00.230	0.0 MB
Underfitting vs. Overfitting (plot_underfitting_overfitting.py)	00:00.152	0.0 MB
Detection error tradeoff (DET) curve (plot_det.py)	00:00.143	0.0 MB
Plotting Cross-Validated Predictions (plot_cv_predict.py)	00:00.130	0.0 MB
Statistical comparison of models using grid search (plot_grid_search_stats.py)	00:00.002	0.0 MB
Sample pipeline for text feature extraction and evaluation (grid_search_text_feature_extraction.py)	00:00.000	0.0 MB