Computation times

09:47.665 total execution time for auto_examples_model_selection files:

Comparing randomized search and grid search for hyperparameter estimation (plot_randomized_search.py)

07:50.846

0.0 MB

Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV (plot_multi_metric_evaluation.py)

00:42.362

0.0 MB

Plotting Validation Curves (plot_validation_curve.py)

00:23.059

0.0 MB

Balance model complexity and cross-validated score (plot_grid_search_refit_callable.py)

00:12.176

0.0 MB

Nested versus non-nested cross-validation (plot_nested_cross_validation_iris.py)

00:09.273

0.0 MB

Plotting Learning Curves (plot_learning_curve.py)

00:09.039

0.0 MB

Parameter estimation using grid search with cross-validation (plot_grid_search_digits.py)

00:08.315

0.0 MB

Train error vs Test error (plot_train_error_vs_test_error.py)

00:07.931

0.0 MB

Visualizing cross-validation behavior in scikit-learn (plot_cv_indices.py)

00:01.768

0.0 MB

Precision-Recall (plot_precision_recall.py)

00:00.593

0.0 MB

Receiver Operating Characteristic (ROC) with cross validation (plot_roc_crossval.py)

00:00.590

0.0 MB

Receiver Operating Characteristic (ROC) (plot_roc.py)

00:00.570

0.0 MB

Confusion matrix (plot_confusion_matrix.py)

00:00.472

0.0 MB

Underfitting vs. Overfitting (plot_underfitting_overfitting.py)

00:00.469

0.0 MB

Plotting Cross-Validated Predictions (plot_cv_predict.py)

00:00.202

0.0 MB

Sample pipeline for text feature extraction and evaluation (grid_search_text_feature_extraction.py)

00:00.000

0.0 MB