Computation times¶
02:16.749 total execution time for auto_examples_model_selection files:
Plotting Learning Curves and Checking Models’ Scalability ( |
00:57.281 |
0.0 MB |
Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV ( |
00:12.744 |
0.0 MB |
Test with permutations the significance of a classification score ( |
00:11.441 |
0.0 MB |
Custom refit strategy of a grid search with cross-validation ( |
00:10.658 |
0.0 MB |
Comparison between grid search and successive halving ( |
00:07.833 |
0.0 MB |
Train error vs Test error ( |
00:07.315 |
0.0 MB |
Nested versus non-nested cross-validation ( |
00:05.955 |
0.0 MB |
Balance model complexity and cross-validated score ( |
00:05.949 |
0.0 MB |
Successive Halving Iterations ( |
00:05.051 |
0.0 MB |
Comparing randomized search and grid search for hyperparameter estimation ( |
00:04.335 |
0.0 MB |
Class Likelihood Ratios to measure classification performance ( |
00:03.359 |
0.0 MB |
Statistical comparison of models using grid search ( |
00:01.368 |
0.0 MB |
Visualizing cross-validation behavior in scikit-learn ( |
00:00.988 |
0.0 MB |
Multiclass Receiver Operating Characteristic (ROC) ( |
00:00.695 |
0.0 MB |
Plotting Validation Curves ( |
00:00.535 |
0.0 MB |
Precision-Recall ( |
00:00.347 |
0.0 MB |
Underfitting vs. Overfitting ( |
00:00.203 |
0.0 MB |
Detection error tradeoff (DET) curve ( |
00:00.200 |
0.0 MB |
Confusion matrix ( |
00:00.175 |
0.0 MB |
Receiver Operating Characteristic (ROC) with cross validation ( |
00:00.164 |
0.0 MB |
Plotting Cross-Validated Predictions ( |
00:00.151 |
0.0 MB |
Sample pipeline for text feature extraction and evaluation ( |
00:00.002 |
0.0 MB |