.. _sphx_glr_auto_examples_model_selection:
.. _model_selection_examples:
Model Selection
-----------------------
Examples related to the :mod:`sklearn.model_selection` module.
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_refit_callable_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_refit_callable.py`
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Balance model complexity and cross-validated score
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_likelihood_ratios_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_likelihood_ratios.py`
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Class Likelihood Ratios to measure classification performance
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_randomized_search_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_randomized_search.py`
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Comparing randomized search and grid search for hyperparameter estimation
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_successive_halving_heatmap_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_heatmap.py`
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Comparison between grid search and successive halving
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_confusion_matrix_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_confusion_matrix.py`
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Confusion matrix
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_digits_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_digits.py`
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Custom refit strategy of a grid search with cross-validation
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_multi_metric_evaluation_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_multi_metric_evaluation.py`
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Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_det_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_det.py`
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Detection error tradeoff (DET) curve
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_roc_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_roc.py`
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Multiclass Receiver Operating Characteristic (ROC)
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_nested_cross_validation_iris_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_nested_cross_validation_iris.py`
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Nested versus non-nested cross-validation
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_cv_predict_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_cv_predict.py`
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Plotting Cross-Validated Predictions
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_learning_curve_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_learning_curve.py`
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Plotting Learning Curves and Checking Models' Scalability
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_validation_curve_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_validation_curve.py`
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Plotting Validation Curves
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_precision_recall_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_precision_recall.py`
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Precision-Recall
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_roc_crossval_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_roc_crossval.py`
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Receiver Operating Characteristic (ROC) with cross validation
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_text_feature_extraction_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_text_feature_extraction.py`
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Sample pipeline for text feature extraction and evaluation
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_grid_search_stats_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_grid_search_stats.py`
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Statistical comparison of models using grid search
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_successive_halving_iterations_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_successive_halving_iterations.py`
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Successive Halving Iterations
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_permutation_tests_for_classification_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_permutation_tests_for_classification.py`
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Test with permutations the significance of a classification score
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_train_error_vs_test_error_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_train_error_vs_test_error.py`
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Train error vs Test error
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_underfitting_overfitting_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_underfitting_overfitting.py`
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Underfitting vs. Overfitting
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.. image:: /auto_examples/model_selection/images/thumb/sphx_glr_plot_cv_indices_thumb.png
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:ref:`sphx_glr_auto_examples_model_selection_plot_cv_indices.py`
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Visualizing cross-validation behavior in scikit-learn
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.. toctree::
:hidden:
/auto_examples/model_selection/plot_grid_search_refit_callable
/auto_examples/model_selection/plot_likelihood_ratios
/auto_examples/model_selection/plot_randomized_search
/auto_examples/model_selection/plot_successive_halving_heatmap
/auto_examples/model_selection/plot_confusion_matrix
/auto_examples/model_selection/plot_grid_search_digits
/auto_examples/model_selection/plot_multi_metric_evaluation
/auto_examples/model_selection/plot_det
/auto_examples/model_selection/plot_roc
/auto_examples/model_selection/plot_nested_cross_validation_iris
/auto_examples/model_selection/plot_cv_predict
/auto_examples/model_selection/plot_learning_curve
/auto_examples/model_selection/plot_validation_curve
/auto_examples/model_selection/plot_precision_recall
/auto_examples/model_selection/plot_roc_crossval
/auto_examples/model_selection/plot_grid_search_text_feature_extraction
/auto_examples/model_selection/plot_grid_search_stats
/auto_examples/model_selection/plot_successive_halving_iterations
/auto_examples/model_selection/plot_permutation_tests_for_classification
/auto_examples/model_selection/plot_train_error_vs_test_error
/auto_examples/model_selection/plot_underfitting_overfitting
/auto_examples/model_selection/plot_cv_indices