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permutation_test_score — scikit-learn 1.7.2 doc...
p-value is 1/(n_permutations + 1), the worst is 1.0. Notes This...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
mean_absolute_percentage_error — scikit-learn 1...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...y_true = [ 1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
train_test_split — scikit-learn 1.7.2 documenta...
1 3.5 1.4 0.2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6...4.2 1.3 105 7.6 3.0 6.6 2.1 66 5.6 3.0 4.5 1.5 0 5.1 3.5 1.4 0.2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
fetch_file — scikit-learn 1.7.2 documentation
delay = 1 ) [source] # Fetch a file from...re-downloading. Added in version 1.6. Parameters : url str URL of...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_file.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 -
12.1. Array API support (experimental) — scikit...
1.1.1. PyTorch Support # PyTorch Tensors...Thomas Fan at PyData NYC 2023. 12.1.1. Example usage # The configuration...scikit-learn.org/stable/modules/array_api.html -
roc_auc_score — scikit-learn 1.7.2 documentation
classes_[1] and thus estimator.predict_proba(X, y)[:, 1] . The...it is upper bounded by 1. References [ 1 ] Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
7.3. Preprocessing data — scikit-learn 1.7.2 do...
1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1], ...,...0. , -1.22, 1.33 ], [ 1.22, 0. , -0.267], [-1.22, 1.22, -1.06 ]])...scikit-learn.org/stable/modules/preprocessing.html -
7.2. Feature extraction — scikit-learn 1.7.2 do...
array([[1, 1, 1, 0, 1, 1, 1, 0], [1, 1, 0, 1, 1, 1, 0, 1]]) In...array([[0, 1, 1, 1, 0, 0, 1, 0, 1], [0, 1, 0, 1, 0, 2, 1, 0, 1], [1,...scikit-learn.org/stable/modules/feature_extraction.html -
make_moons — scikit-learn 1.7.2 documentation
) The integer labels (0 or 1) for class membership of each...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html