Computation times¶
01:04.020 total execution time for auto_examples_model_selection files:
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV ( |
00:12.947 |
0.0 MB |
Custom refit strategy of a grid search with cross-validation ( |
00:09.152 |
0.0 MB |
Test with permutations the significance of a classification score ( |
00:07.485 |
0.0 MB |
Train error vs Test error ( |
00:06.963 |
0.0 MB |
Comparison between grid search and successive halving ( |
00:06.314 |
0.0 MB |
Balance model complexity and cross-validated score ( |
00:04.107 |
0.0 MB |
Comparing randomized search and grid search for hyperparameter estimation ( |
00:03.777 |
0.0 MB |
Successive Halving Iterations ( |
00:03.705 |
0.0 MB |
Nested versus non-nested cross-validation ( |
00:03.229 |
0.0 MB |
Plotting Learning Curves ( |
00:03.101 |
0.0 MB |
Statistical comparison of models using grid search ( |
00:00.941 |
0.0 MB |
Visualizing cross-validation behavior in scikit-learn ( |
00:00.808 |
0.0 MB |
Plotting Validation Curves ( |
00:00.452 |
0.0 MB |
Precision-Recall ( |
00:00.267 |
0.0 MB |
Underfitting vs. Overfitting ( |
00:00.155 |
0.0 MB |
Confusion matrix ( |
00:00.149 |
0.0 MB |
Receiver Operating Characteristic (ROC) ( |
00:00.145 |
0.0 MB |
Detection error tradeoff (DET) curve ( |
00:00.132 |
0.0 MB |
Receiver Operating Characteristic (ROC) with cross validation ( |
00:00.122 |
0.0 MB |
Plotting Cross-Validated Predictions ( |
00:00.068 |
0.0 MB |
Sample pipeline for text feature extraction and evaluation ( |
00:00.000 |
0.0 MB |