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plot_multi_metric_evaluation.py
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
plot_multi_metric_evaluation.ipynb
1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...etc...)\n\nThe ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
plot_multi_metric_evaluation.rst.txt
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
support.rst.txt
about repository updates and test failures on the `scikit-learn-commits...scikit-learn.org/stable/_sources/support.rst.txt -
plot_release_highlights_1_4_0.py
X_test, y_train, y_test = train_test_split(X_adult,...n(X_test) print(f"ROC AUC score is {roc_auc_score(y_test, y_decision)}")...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py -
sg_gallery.css
to fix default sphinx themes Tested for Sphinx 1.3.1 for all themes:...traditional, nature, haiku, pyramid Tested for Read the Docs theme 0.1.7...scikit-learn.org/stable/_static/sg_gallery.css -
sg_gallery-dataframe.css
html[data-theme="light"] { --sg-text-color: #000; --sg-tr-odd-color:...html[data-theme="dark"] { --sg-text-color: #fff; --sg-tr-odd-color:...scikit-learn.org/stable/_static/sg_gallery-dataframe.css -
prettify.css
pln { color: #000 } /* plain text */ @media screen { .str { color:...} /* Use higher contrast and text-weight for printable form. */...www.elastic.co/static-res/styles/css/vendors/prettify.css -
favicon_32x32.png
www.elastic.co/favicon_32x32.png -
plot_pca_iris.ipynb
"mimetype": "text/x-python", "name": "python",...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb