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plot_multi_metric_evaluation.ipynb
datasets import make_hastie_10_2\nfrom sklearn.metrics import..."source": [ "X, y = make_hastie_10_2(n_samples=8000, random_state=42)\n\n#...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
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_multi_metric_evaluation.py
datasets import make_hastie_10_2 from sklearn.metrics import...---------- # X, y = make_hastie_10_2(n_samples=8000, random_state=42)...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
plot_kmeans_digits.ipynb
\n zorder=10,\n)\nplt.title(\n \"K-means clustering...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
plot_kmeans_digits.py
zorder=10, ) plt.title( "K-means clustering...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py