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<li><a class="reference internal" href="#">Computation times</a></li>
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<div class="section" id="computation-times">
<span id="sphx-glr-auto-examples-model-selection-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
<p><strong>03:23.722</strong> total execution time for <strong>auto_examples_model_selection</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 86%" />
<col style="width: 7%" />
<col style="width: 7%" />
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<tbody>
<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_randomized_search.py</span></code>)</p></td>
<td><p>02:13.989</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_multi_metric_evaluation.py</span></code>)</p></td>
<td><p>00:24.387</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_validation_curve.py</span></code>)</p></td>
<td><p>00:13.827</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_grid_search_refit_callable.py</span></code>)</p></td>
<td><p>00:05.575</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_nested_cross_validation_iris.py</span></code>)</p></td>
<td><p>00:05.144</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-even"><td><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">Parameter estimation using grid search with cross-validation</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_grid_search_digits.py</span></code>)</p></td>
<td><p>00:04.512</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-odd"><td><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</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_learning_curve.py</span></code>)</p></td>
<td><p>00:03.994</p></td>
<td><p>172.0 MB</p></td>
</tr>
<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_train_error_vs_test_error.py</span></code>)</p></td>
<td><p>00:02.775</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_precision_recall.py</span></code>)</p></td>
<td><p>00:02.755</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_cv_indices.py</span></code>)</p></td>
<td><p>00:02.661</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_roc.html#sphx-glr-auto-examples-model-selection-plot-roc-py"><span class="std std-ref">Receiver Operating Characteristic (ROC)</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_roc.py</span></code>)</p></td>
<td><p>00:01.787</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_roc_crossval.py</span></code>)</p></td>
<td><p>00:00.674</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_underfitting_overfitting.py</span></code>)</p></td>
<td><p>00:00.582</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-even"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_confusion_matrix.py</span></code>)</p></td>
<td><p>00:00.577</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-odd"><td><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> (<code class="docutils literal notranslate"><span class="pre">plot_cv_predict.py</span></code>)</p></td>
<td><p>00:00.482</p></td>
<td><p>8.3 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="grid_search_text_feature_extraction.html#sphx-glr-auto-examples-model-selection-grid-search-text-feature-extraction-py"><span class="std std-ref">Sample pipeline for text feature extraction and evaluation</span></a> (<code class="docutils literal notranslate"><span class="pre">grid_search_text_feature_extraction.py</span></code>)</p></td>
<td><p>00:00.000</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>
</table>
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