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plot_multi_metric_evaluation.rst.txt
datasets import make_hastie_10_2 from sklearn.metrics import...code-block:: Python X, y = make_hastie_10_2(n_samples=8000, random_state=42)...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
plot_discretization_strategies.rst.txt
n_samples // 10, n_samples * 4 // 10, n_samples // 10, n_samples...n_samples * 4 // 10, ], cluster_std=0.5, centers=centers_0, random_state=random_state,...scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt -
plot_classifier_comparison.rst.txt
n_estimators=10, max_features=1, random_state=42...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt