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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 -
FeatureHasher and DictVectorizer Comparison — s...
{'that': 1, 'is': 2, 'one': 2, 'example': 1, 'but': 1, 'this':...'this': 1, 'another': 1}) Observe in particular that the repeated token...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
shrunk_covariance — scikit-learn 1.7.2 document...
1 ) [source] # Calculate covariance...ndarray. shrinkage float, default=0.1 Coefficient in the convex combination...scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html -
Nearest Neighbors regression — scikit-learn 1.7...
1 , i + 1 ) plt . scatter ( X_train...sort ( 5 * rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
f_classif — scikit-learn 1.7.2 documentation
n_clusters_per_class = 1 , ... shuffle = False , random_state...f_statistic array([2.21e+02, 7.02e-01, 1.70e+00, 9.31e-01, 5.41e+00, 3.25e-01,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html