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roc_auc_score — scikit-learn 1.7.1 documentation
{‘micro’, ‘macro’, ‘samples’, ‘weighted’} or None, default=’macro’ If...multiclass. multi_class {‘raise’, ‘ovr’, ‘ovo’}, default=’raise’ Only...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
hamming_loss — scikit-learn 1.7.1 documentation
hamming_loss ( np . array ([[ 0 , 1 ], [ 1 , 1 ]]), np . zeros (( 2 ,...3(3), 1-13, July-September 2007. [ 2 ] Wikipedia entry on the Hamming...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
root_mean_squared_error — scikit-learn 1.7.1 do...
- 1 , 1 ],[ 7 , - 6 ]] >>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[...= [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
KNeighborsRegressor — scikit-learn 1.7.1 docume...
KNeighborsRegressor(...) >>> print ( neigh . predict ([[ 1.5 ]])) [0.5] fit...regression . algorithm {‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
MultiOutputRegressor — scikit-learn 1.7.1 docum...
of squares ((y_true - y_true.mean()) ** 2).sum() . The best possible...array([[176, 35.1, 57.1]]) fit ( X , y , sample_weight = None , **...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
pairwise_distances_argmin — scikit-learn 1.7.1 ...
= [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 ,...‘dice’, ‘hamming’, ‘jaccard’, ‘kulsinski’, ‘mahalanobis’, ‘minkowski’,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html -
LogisticRegression — scikit-learn 1.7.1 documen...
the ‘liblinear’ library, ‘newton-cg’, ‘sag’, ‘saga’ and ‘lbfgs’...details. solver {‘lbfgs’, ‘liblinear’, ‘newton-cg’, ‘newton-cholesky’,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
Nystroem — scikit-learn 1.7.1 documentation
Nystroem ( gamma = .2 , ... random_state = 1 , ... n_components...LinearSVC() >>> clf . score ( data_transformed , y ) 0.9987... fit...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
PolynomialCountSketch — scikit-learn 1.7.1 docu...
1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...SGDClassifier(max_iter=10) >>> clf . score ( X_features , y ) 1.0 For...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html -
f_classif — scikit-learn 1.7.1 documentation
array([2.21e+02, 7.02e-01, 1.70e+00, 9.31e-01, 5.41e+00, 3.25e-01,...array([7.14e-27, 4.04e-01, 1.96e-01, 3.37e-01, 2.21e-02, 5.70e-01,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html