Computation times¶
01:02.893 total execution time for auto_examples_model_selection files:
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV ( |
00:12.810 |
0.0 MB |
Custom refit strategy of a grid search with cross-validation ( |
00:09.212 |
0.0 MB |
Test with permutations the significance of a classification score ( |
00:07.359 |
0.0 MB |
Train error vs Test error ( |
00:06.372 |
0.0 MB |
Comparison between grid search and successive halving ( |
00:06.268 |
0.0 MB |
Comparing randomized search and grid search for hyperparameter estimation ( |
00:03.973 |
0.0 MB |
Balance model complexity and cross-validated score ( |
00:03.949 |
0.0 MB |
Successive Halving Iterations ( |
00:03.561 |
0.0 MB |
Nested versus non-nested cross-validation ( |
00:03.203 |
0.0 MB |
Plotting Learning Curves ( |
00:03.003 |
0.0 MB |
Statistical comparison of models using grid search ( |
00:00.932 |
0.0 MB |
Visualizing cross-validation behavior in scikit-learn ( |
00:00.776 |
0.0 MB |
Plotting Validation Curves ( |
00:00.434 |
0.0 MB |
Precision-Recall ( |
00:00.265 |
0.0 MB |
Underfitting vs. Overfitting ( |
00:00.155 |
0.0 MB |
Receiver Operating Characteristic (ROC) ( |
00:00.153 |
0.0 MB |
Confusion matrix ( |
00:00.145 |
0.0 MB |
Detection error tradeoff (DET) curve ( |
00:00.134 |
0.0 MB |
Receiver Operating Characteristic (ROC) with cross validation ( |
00:00.121 |
0.0 MB |
Plotting Cross-Validated Predictions ( |
00:00.069 |
0.0 MB |
Sample pipeline for text feature extraction and evaluation ( |
00:00.000 |
0.0 MB |