Computation times¶
01:19.167 total execution time for auto_examples_model_selection files:
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV ( |
00:29.832 |
0.0 MB |
Test with permutations the significance of a classification score ( |
00:08.158 |
0.0 MB |
Comparison between grid search and successive halving ( |
00:06.613 |
0.0 MB |
Balance model complexity and cross-validated score ( |
00:06.116 |
0.0 MB |
Comparing randomized search and grid search for hyperparameter estimation ( |
00:05.509 |
0.0 MB |
Successive Halving Iterations ( |
00:04.376 |
0.0 MB |
Nested versus non-nested cross-validation ( |
00:03.812 |
0.0 MB |
Parameter estimation using grid search with cross-validation ( |
00:03.567 |
0.0 MB |
Plotting Learning Curves ( |
00:03.559 |
0.0 MB |
Train error vs Test error ( |
00:02.916 |
0.0 MB |
Statistical comparison of models using grid search ( |
00:01.195 |
0.0 MB |
Plotting Validation Curves ( |
00:01.106 |
0.0 MB |
Visualizing cross-validation behavior in scikit-learn ( |
00:00.929 |
0.0 MB |
Precision-Recall ( |
00:00.343 |
0.0 MB |
Receiver Operating Characteristic (ROC) with cross validation ( |
00:00.283 |
0.0 MB |
Receiver Operating Characteristic (ROC) ( |
00:00.253 |
0.0 MB |
Underfitting vs. Overfitting ( |
00:00.181 |
0.0 MB |
Confusion matrix ( |
00:00.171 |
0.0 MB |
Detection error tradeoff (DET) curve ( |
00:00.164 |
0.0 MB |
Plotting Cross-Validated Predictions ( |
00:00.083 |
0.0 MB |
Sample pipeline for text feature extraction and evaluation ( |
00:00.000 |
0.0 MB |