Computation timesΒΆ
16:27.487 total execution time for auto_examples_model_selection files:
Comparing randomized search and grid search for hyperparameter estimation (plot_randomized_search.py) |
04:34.839 | 0.0 MB |
Plotting Validation Curves (plot_validation_curve.py) |
03:17.855 | 0.0 MB |
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV (plot_multi_metric_evaluation.py) |
03:09.400 | 0.0 MB |
Parameter estimation using grid search with cross-validation (plot_grid_search_digits.py) |
01:47.338 | 0.0 MB |
Plotting Learning Curves (plot_learning_curve.py) |
01:41.881 | 0.0 MB |
Nested versus non-nested cross-validation (plot_nested_cross_validation_iris.py) |
00:55.750 | 0.0 MB |
Train error vs Test error (plot_train_error_vs_test_error.py) |
00:35.861 | 0.0 MB |
Visualizing cross-validation behavior in scikit-learn (plot_cv_indices.py) |
00:08.865 | 0.0 MB |
Receiver Operating Characteristic (ROC) with cross validation (plot_roc_crossval.py) |
00:04.228 | 0.0 MB |
Receiver Operating Characteristic (ROC) (plot_roc.py) |
00:03.438 | 0.0 MB |
Precision-Recall (plot_precision_recall.py) |
00:02.845 | 0.0 MB |
Confusion matrix (plot_confusion_matrix.py) |
00:02.462 | 0.0 MB |
Underfitting vs. Overfitting (plot_underfitting_overfitting.py) |
00:01.870 | 0.0 MB |
Plotting Cross-Validated Predictions (plot_cv_predict.py) |
00:00.854 | 0.0 MB |
Sample pipeline for text feature extraction and evaluation (grid_search_text_feature_extraction.py) |
00:00.000 | 0.0 MB |