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fetch_20newsgroups — scikit-learn 1.7.2 documen...
1, 1, 1, 0, 1, 1, 0, 0, 0]) Gallery examples...Added in version 1.5. delay float, default=1.0 Number of seconds...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
estimate_bandwidth — scikit-learn 1.7.2 documen...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html -
pairwise_kernels — scikit-learn 1.7.2 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html -
ward_tree — scikit-learn 1.7.2 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...children ndarray of shape (n_nodes-1, 2) The children of each non-leaf...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
hamming_loss — scikit-learn 1.7.2 documentation
1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
RBF SVM parameters — scikit-learn 1.7.2 documen...
1 , 1e2 ] gamma_2d_range = [ 1e-1 , 1 , 1e1 ] classifiers...{'C': np.float64(1.0), 'gamma': np.float64(0.1)} with a score of...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
accuracy_score — scikit-learn 1.7.2 documentation
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...y_pred = [ 0 , 2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>> accuracy_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
Visualizations with Display Objects — scikit-le...
0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...pos_label = clf . classes_ [ 1 ]) roc_display = RocCurveDisplay...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
lars_path — scikit-learn 1.7.2 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...Xw ||^ 2_2 + alpha * || w || _1 in the case of method=’lar’, the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
export_text — scikit-learn 1.7.2 documentation
(cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75 |...be used (“feature_0”, “feature_1”, …). class_names array-like of...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html