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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_classifier_comparison.py
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
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_classifier_comparison.rst.txt
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.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 -
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 -
plot_classifier_comparison.ipynb
y_test = train_test_split(\n X, y, test_size=0.4, random_state=42\n...the testing points\n ax.scatter(\n X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
support.rst.txt
about repository updates and test failures on the `scikit-learn-commits...scikit-learn.org/stable/_sources/support.rst.txt -
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