Computation times¶

04:05.347 total execution time for auto_examples_model_selection files:

Comparing randomized search and grid search for hyperparameter estimation (`plot_randomized_search.py`)	02:55.449	0.0 MB
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV (`plot_multi_metric_evaluation.py`)	00:24.784	0.0 MB
Plotting Validation Curves (`plot_validation_curve.py`)	00:15.124	0.0 MB
Plotting Learning Curves (`plot_learning_curve.py`)	00:06.464	0.0 MB
Balance model complexity and cross-validated score (`plot_grid_search_refit_callable.py`)	00:06.237	0.0 MB
Nested versus non-nested cross-validation (`plot_nested_cross_validation_iris.py`)	00:05.584	0.0 MB
Train error vs Test error (`plot_train_error_vs_test_error.py`)	00:04.422	0.0 MB
Parameter estimation using grid search with cross-validation (`plot_grid_search_digits.py`)	00:04.183	0.0 MB
Visualizing cross-validation behavior in scikit-learn (`plot_cv_indices.py`)	00:01.180	0.0 MB
Receiver Operating Characteristic (ROC) with cross validation (`plot_roc_crossval.py`)	00:00.416	0.0 MB
Precision-Recall (`plot_precision_recall.py`)	00:00.363	0.0 MB
Confusion matrix (`plot_confusion_matrix.py`)	00:00.358	0.0 MB
Receiver Operating Characteristic (ROC) (`plot_roc.py`)	00:00.338	0.0 MB
Underfitting vs. Overfitting (`plot_underfitting_overfitting.py`)	00:00.279	0.0 MB
Plotting Cross-Validated Predictions (`plot_cv_predict.py`)	00:00.166	0.0 MB
Sample pipeline for text feature extraction and evaluation (`grid_search_text_feature_extraction.py`)	00:00.000	0.0 MB