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plot_multi_metric_evaluation.py
("test", "-")): sample_score_mean =...sample_score_std, alpha=0.1 if sample == "test" else 0, color=color, ) ax.plot(...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
getting_started.rst.txt
disclosing some testing data in your training data....<datasets>`, split it into train and test sets, and compute the accuracy...scikit-learn.org/stable/_sources/getting_started.rst.txt -
plot_multi_metric_evaluation.ipynb
(\"test\", \"-\")):\n sample_score_mean...sample_score_std,\n alpha=0.1 if sample == \"test\" else 0,\n color=color,\n )\n...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
plot_classifier_comparison.py
points in solid colors and testing points semi-transparent. The...classification accuracy on the test set. """ # Authors: The scikit-learn...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
feature_selection.rst.txt
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
plot_classifier_comparison.rst.txt
points in solid colors and testing points semi-transparent. The...classification accuracy on the test set. .. GENERATED FROM PYTHON...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
Getting Started — scikit-learn 1.8.0 documentation
disclosing some testing data in your training data....dataset , split it into train and test sets, and compute the accuracy...scikit-learn.org/stable/getting_started.html -
plot_multi_metric_evaluation.rst.txt
("test", "-")): sample_score_mean =...sample_score_std, alpha=0.1 if sample == "test" else 0, color=color, ) ax.plot(...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
plot_hgbt_regression.py
shape[0]}") print(f"Test sample size: {X_test.shape[0]}")...slice(0, 336) # first week in the test set as 7 * 48 = 336 missing_fraction_list...scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py -
plot_hgbt_regression.ipynb
shape[0]}\")\nprint(f\"Test sample size: {X_test.shape[...slice(0, 336) # first week in the test set as 7 * 48 = 336\nmissing_fraction_list...scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb