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plot_classifier_comparison.py
""" ========== Classifier comparison ========== A comparison...random_state=42), SVC(gamma=2, C=1, random_state=42), GaussianProcessClass(1.0...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
plot_pca_iris.py
""" ========== PCA example with Iris Data-set ========== Principal...2)]: ax.text3D( X[y == label, 0].mean(), X[y == label, 1].mean()...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py -
plot_multi_metric_evaluation.ipynb
\n alpha=0.1 if sample == \"test\" else 0,\n color=color,\n )\n... style,\n color=color,\n alpha=1 if sample == \"test\" else 0.7,\n...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
plot_kmeans_digits.py
metrics): ========== ========== Shorthand full name ========== ==========...silhouette coefficient ========== ========== """ # %% # Load the...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py -
plot_classifier_comparison.ipynb
C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...max_depth=5, n_estimators=10, max_features=1, random_state=42\n ),\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
index.css
landing page */ html[data-theme="light"] { --sk-landing-bg-1: ...var(--sk-orange-tint-3); } html[data-theme="dark"] { --sk-landing-bg-1: v...scikit-learn.org/stable/_static/styles/index.css -
prettify.css
solid #888 } /* Specify class=linenums on a pre to get line numbering...www.elastic.co/static-res/styles/css/vendors/prettify.css