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<section id="model-selection">
<span id="model-selection-examples"></span><span id="sphx-glr-auto-examples-model-selection"></span><h1>Model Selection<a class="headerlink" href="#model-selection" title="Link to this heading">¶</a></h1>
<p>Examples related to the <a class="reference internal" href="../../modules/classes.html#module-sklearn.model_selection" title="sklearn.model_selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code></a> module.</p>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This example balances model complexity and cross-validated score by finding a decent accuracy w..."><img alt="" src="../../_images/sphx_glr_plot_grid_search_refit_callable_thumb.png" />
<p><a class="reference internal" href="plot_grid_search_refit_callable.html#sphx-glr-auto-examples-model-selection-plot-grid-search-refit-callable-py"><span class="std std-ref">Balance model complexity and cross-validated score</span></a></p>
<div class="sphx-glr-thumbnail-title">Balance model complexity and cross-validated score</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the class_likelihood_ratios function, which computes the positive and..."><img alt="" src="../../_images/sphx_glr_plot_likelihood_ratios_thumb.png" />
<p><a class="reference internal" href="plot_likelihood_ratios.html#sphx-glr-auto-examples-model-selection-plot-likelihood-ratios-py"><span class="std std-ref">Class Likelihood Ratios to measure classification performance</span></a></p>
<div class="sphx-glr-thumbnail-title">Class Likelihood Ratios to measure classification performance</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Compare randomized search and grid search for optimizing hyperparameters of a linear SVM with S..."><img alt="" src="../../_images/sphx_glr_plot_randomized_search_thumb.png" />
<p><a class="reference internal" href="plot_randomized_search.html#sphx-glr-auto-examples-model-selection-plot-randomized-search-py"><span class="std std-ref">Comparing randomized search and grid search for hyperparameter estimation</span></a></p>
<div class="sphx-glr-thumbnail-title">Comparing randomized search and grid search for hyperparameter estimation</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example compares the parameter search performed by HalvingGridSearchCV and GridSearchCV."><img alt="" src="../../_images/sphx_glr_plot_successive_halving_heatmap_thumb.png" />
<p><a class="reference internal" href="plot_successive_halving_heatmap.html#sphx-glr-auto-examples-model-selection-plot-successive-halving-heatmap-py"><span class="std std-ref">Comparison between grid search and successive halving</span></a></p>
<div class="sphx-glr-thumbnail-title">Comparison between grid search and successive halving</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Example of confusion matrix usage to evaluate the quality of the output of a classifier on the ..."><img alt="" src="../../_images/sphx_glr_plot_confusion_matrix_thumb.png" />
<p><a class="reference internal" href="plot_confusion_matrix.html#sphx-glr-auto-examples-model-selection-plot-confusion-matrix-py"><span class="std std-ref">Confusion matrix</span></a></p>
<div class="sphx-glr-thumbnail-title">Confusion matrix</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This examples shows how a classifier is optimized by cross-validation, which is done using the ..."><img alt="" src="../../_images/sphx_glr_plot_grid_search_digits_thumb.png" />
<p><a class="reference internal" href="plot_grid_search_digits.html#sphx-glr-auto-examples-model-selection-plot-grid-search-digits-py"><span class="std std-ref">Custom refit strategy of a grid search with cross-validation</span></a></p>
<div class="sphx-glr-thumbnail-title">Custom refit strategy of a grid search with cross-validation</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Multiple metric parameter search can be done by setting the scoring parameter to a list of metr..."><img alt="" src="../../_images/sphx_glr_plot_multi_metric_evaluation_thumb.png" />
<p><a class="reference internal" href="plot_multi_metric_evaluation.html#sphx-glr-auto-examples-model-selection-plot-multi-metric-evaluation-py"><span class="std std-ref">Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV</span></a></p>
<div class="sphx-glr-thumbnail-title">Demonstration of multi-metric evaluation on cross_val_score and GridSearchCV</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="In this example, we compare two binary classification multi-threshold metrics: the Receiver Ope..."><img alt="" src="../../_images/sphx_glr_plot_det_thumb.png" />
<p><a class="reference internal" href="plot_det.html#sphx-glr-auto-examples-model-selection-plot-det-py"><span class="std std-ref">Detection error tradeoff (DET) curve</span></a></p>
<div class="sphx-glr-thumbnail-title">Detection error tradeoff (DET) curve</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example describes the use of the Receiver Operating Characteristic (ROC) metric to evaluat..."><img alt="" src="../../_images/sphx_glr_plot_roc_thumb.png" />
<p><a class="reference internal" href="plot_roc.html#sphx-glr-auto-examples-model-selection-plot-roc-py"><span class="std std-ref">Multiclass Receiver Operating Characteristic (ROC)</span></a></p>
<div class="sphx-glr-thumbnail-title">Multiclass Receiver Operating Characteristic (ROC)</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example compares non-nested and nested cross-validation strategies on a classifier of the ..."><img alt="" src="../../_images/sphx_glr_plot_nested_cross_validation_iris_thumb.png" />
<p><a class="reference internal" href="plot_nested_cross_validation_iris.html#sphx-glr-auto-examples-model-selection-plot-nested-cross-validation-iris-py"><span class="std std-ref">Nested versus non-nested cross-validation</span></a></p>
<div class="sphx-glr-thumbnail-title">Nested versus non-nested cross-validation</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use cross_val_predict together with PredictionErrorDisplay to visuali..."><img alt="" src="../../_images/sphx_glr_plot_cv_predict_thumb.png" />
<p><a class="reference internal" href="plot_cv_predict.html#sphx-glr-auto-examples-model-selection-plot-cv-predict-py"><span class="std std-ref">Plotting Cross-Validated Predictions</span></a></p>
<div class="sphx-glr-thumbnail-title">Plotting Cross-Validated Predictions</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="In this example, we show how to use the class LearningCurveDisplay to easily plot learning curv..."><img alt="" src="../../_images/sphx_glr_plot_learning_curve_thumb.png" />
<p><a class="reference internal" href="plot_learning_curve.html#sphx-glr-auto-examples-model-selection-plot-learning-curve-py"><span class="std std-ref">Plotting Learning Curves and Checking Models’ Scalability</span></a></p>
<div class="sphx-glr-thumbnail-title">Plotting Learning Curves and Checking Models' Scalability</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="In this plot you can see the training scores and validation scores of an SVM for different valu..."><img alt="" src="../../_images/sphx_glr_plot_validation_curve_thumb.png" />
<p><a class="reference internal" href="plot_validation_curve.html#sphx-glr-auto-examples-model-selection-plot-validation-curve-py"><span class="std std-ref">Plotting Validation Curves</span></a></p>
<div class="sphx-glr-thumbnail-title">Plotting Validation Curves</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Example of Precision-Recall metric to evaluate classifier output quality."><img alt="" src="../../_images/sphx_glr_plot_precision_recall_thumb.png" />
<p><a class="reference internal" href="plot_precision_recall.html#sphx-glr-auto-examples-model-selection-plot-precision-recall-py"><span class="std std-ref">Precision-Recall</span></a></p>
<div class="sphx-glr-thumbnail-title">Precision-Recall</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example presents how to estimate and visualize the variance of the Receiver Operating Char..."><img alt="" src="../../_images/sphx_glr_plot_roc_crossval_thumb.png" />
<p><a class="reference internal" href="plot_roc_crossval.html#sphx-glr-auto-examples-model-selection-plot-roc-crossval-py"><span class="std std-ref">Receiver Operating Characteristic (ROC) with cross validation</span></a></p>
<div class="sphx-glr-thumbnail-title">Receiver Operating Characteristic (ROC) with cross validation</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="The dataset used in this example is 20newsgroups_dataset which will be automatically downloaded..."><img alt="" src="../../_images/sphx_glr_plot_grid_search_text_feature_extraction_thumb.png" />
<p><a class="reference internal" href="plot_grid_search_text_feature_extraction.html#sphx-glr-auto-examples-model-selection-plot-grid-search-text-feature-extraction-py"><span class="std std-ref">Sample pipeline for text feature extraction and evaluation</span></a></p>
<div class="sphx-glr-thumbnail-title">Sample pipeline for text feature extraction and evaluation</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to statistically compare the performance of models trained and eva..."><img alt="" src="../../_images/sphx_glr_plot_grid_search_stats_thumb.png" />
<p><a class="reference internal" href="plot_grid_search_stats.html#sphx-glr-auto-examples-model-selection-plot-grid-search-stats-py"><span class="std std-ref">Statistical comparison of models using grid search</span></a></p>
<div class="sphx-glr-thumbnail-title">Statistical comparison of models using grid search</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how a successive halving search (~sklearn.model_selection.HalvingGridS..."><img alt="" src="../../_images/sphx_glr_plot_successive_halving_iterations_thumb.png" />
<p><a class="reference internal" href="plot_successive_halving_iterations.html#sphx-glr-auto-examples-model-selection-plot-successive-halving-iterations-py"><span class="std std-ref">Successive Halving Iterations</span></a></p>
<div class="sphx-glr-thumbnail-title">Successive Halving Iterations</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the use of permutation_test_score to evaluate the significance of a c..."><img alt="" src="../../_images/sphx_glr_plot_permutation_tests_for_classification_thumb.png" />
<p><a class="reference internal" href="plot_permutation_tests_for_classification.html#sphx-glr-auto-examples-model-selection-plot-permutation-tests-for-classification-py"><span class="std std-ref">Test with permutations the significance of a classification score</span></a></p>
<div class="sphx-glr-thumbnail-title">Test with permutations the significance of a classification score</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Illustration of how the performance of an estimator on unseen data (test data) is not the same ..."><img alt="" src="../../_images/sphx_glr_plot_train_error_vs_test_error_thumb.png" />
<p><a class="reference internal" href="plot_train_error_vs_test_error.html#sphx-glr-auto-examples-model-selection-plot-train-error-vs-test-error-py"><span class="std std-ref">Train error vs Test error</span></a></p>
<div class="sphx-glr-thumbnail-title">Train error vs Test error</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the problems of underfitting and overfitting and how we can use linea..."><img alt="" src="../../_images/sphx_glr_plot_underfitting_overfitting_thumb.png" />
<p><a class="reference internal" href="plot_underfitting_overfitting.html#sphx-glr-auto-examples-model-selection-plot-underfitting-overfitting-py"><span class="std std-ref">Underfitting vs. Overfitting</span></a></p>
<div class="sphx-glr-thumbnail-title">Underfitting vs. Overfitting</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Choosing the right cross-validation object is a crucial part of fitting a model properly. There..."><img alt="" src="../../_images/sphx_glr_plot_cv_indices_thumb.png" />
<p><a class="reference internal" href="plot_cv_indices.html#sphx-glr-auto-examples-model-selection-plot-cv-indices-py"><span class="std std-ref">Visualizing cross-validation behavior in scikit-learn</span></a></p>
<div class="sphx-glr-thumbnail-title">Visualizing cross-validation behavior in scikit-learn</div>
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