Computation times

02:16.749 total execution time for auto_examples_model_selection files:

Plotting Learning Curves and Checking Models’ Scalability (plot_learning_curve.py)

00:57.281

0.0 MB

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

00:12.744

0.0 MB

Test with permutations the significance of a classification score (plot_permutation_tests_for_classification.py)

00:11.441

0.0 MB

Custom refit strategy of a grid search with cross-validation (plot_grid_search_digits.py)

00:10.658

0.0 MB

Comparison between grid search and successive halving (plot_successive_halving_heatmap.py)

00:07.833

0.0 MB

Train error vs Test error (plot_train_error_vs_test_error.py)

00:07.315

0.0 MB

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

00:05.955

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

00:05.949

0.0 MB

Successive Halving Iterations (plot_successive_halving_iterations.py)

00:05.051

0.0 MB

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

00:04.335

0.0 MB

Class Likelihood Ratios to measure classification performance (plot_likelihood_ratios.py)

00:03.359

0.0 MB

Statistical comparison of models using grid search (plot_grid_search_stats.py)

00:01.368

0.0 MB

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

00:00.988

0.0 MB

Multiclass Receiver Operating Characteristic (ROC) (plot_roc.py)

00:00.695

0.0 MB

Plotting Validation Curves (plot_validation_curve.py)

00:00.535

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Precision-Recall (plot_precision_recall.py)

00:00.347

0.0 MB

Underfitting vs. Overfitting (plot_underfitting_overfitting.py)

00:00.203

0.0 MB

Detection error tradeoff (DET) curve (plot_det.py)

00:00.200

0.0 MB

Confusion matrix (plot_confusion_matrix.py)

00:00.175

0.0 MB

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

00:00.164

0.0 MB

Plotting Cross-Validated Predictions (plot_cv_predict.py)

00:00.151

0.0 MB

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

00:00.002

0.0 MB