Computation times

04:08.362 total execution time for auto_examples_model_selection files:

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

02:58.587

0.0 MB

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

00:25.710

0.0 MB

Plotting Validation Curves (plot_validation_curve.py)

00:14.727

0.0 MB

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

00:06.741

0.0 MB

Plotting Learning Curves (plot_learning_curve.py)

00:06.108

0.0 MB

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

00:05.295

0.0 MB

Train error vs Test error (plot_train_error_vs_test_error.py)

00:04.459

0.0 MB

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

00:04.223

0.0 MB

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

00:00.980

0.0 MB

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

00:00.327

0.0 MB

Precision-Recall (plot_precision_recall.py)

00:00.304

0.0 MB

Receiver Operating Characteristic (ROC) (plot_roc.py)

00:00.298

0.0 MB

Confusion matrix (plot_confusion_matrix.py)

00:00.274

0.0 MB

Underfitting vs. Overfitting (plot_underfitting_overfitting.py)

00:00.210

0.0 MB

Plotting Cross-Validated Predictions (plot_cv_predict.py)

00:00.119

0.0 MB

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

00:00.000

0.0 MB