Computation times¶
00:49.668 total execution time for auto_examples_model_selection files:
Test with permutations the significance of a classification score ( |
00:07.564 |
0.0 MB |
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV ( |
00:06.822 |
0.0 MB |
Comparison between grid search and successive halving ( |
00:06.304 |
0.0 MB |
Train error vs Test error ( |
00:06.262 |
0.0 MB |
Balance model complexity and cross-validated score ( |
00:04.157 |
0.0 MB |
Successive Halving Iterations ( |
00:03.674 |
0.0 MB |
Comparing randomized search and grid search for hyperparameter estimation ( |
00:03.500 |
0.0 MB |
Nested versus non-nested cross-validation ( |
00:03.302 |
0.0 MB |
Parameter estimation using grid search with cross-validation ( |
00:02.411 |
0.0 MB |
Plotting Learning Curves ( |
00:02.046 |
0.0 MB |
Statistical comparison of models using grid search ( |
00:00.945 |
0.0 MB |
Plotting Validation Curves ( |
00:00.841 |
0.0 MB |
Visualizing cross-validation behavior in scikit-learn ( |
00:00.769 |
0.0 MB |
Precision-Recall ( |
00:00.269 |
0.0 MB |
Underfitting vs. Overfitting ( |
00:00.158 |
0.0 MB |
Receiver Operating Characteristic (ROC) ( |
00:00.147 |
0.0 MB |
Confusion matrix ( |
00:00.144 |
0.0 MB |
Detection error tradeoff (DET) curve ( |
00:00.141 |
0.0 MB |
Receiver Operating Characteristic (ROC) with cross validation ( |
00:00.141 |
0.0 MB |
Plotting Cross-Validated Predictions ( |
00:00.071 |
0.0 MB |
Sample pipeline for text feature extraction and evaluation ( |
00:00.000 |
0.0 MB |