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feature_selection.rst.txt
we can use a F-test to retrieve the two best...sklearn.feature_selection import f_classif >>> X, y = load_iris(return_X_y=True)...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
index.rst.txt
where each new tree is fit f..."> .. only:: html .. image::...differences between univariate F-test statistics and mutual inform...">...scikit-learn.org/stable/_sources/auto_examples/index.rst.txt -
preprocessing.rst.txt
formula :math:`G^{-1}(F(X))` where :math:`F` is the cumulative distribution...distribution function :math:`F` then :math:`F(X)` is uniformly distributed...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
plot_release_highlights_1_4_0.rst.txt
decision_function(X_test) print(f"ROC AUC score is {roc_auc_score(y_test,..... code-block:: Python print(f"Output type: {type(df_out)}")...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_4_0.r... -
faq.rst.txt
layouts (`X` C-contiguous or F-contiguous, sparse csr or csc)....scikit-learn.org/stable/_sources/faq.rst.txt -
feature_extraction.rst.txt
'mpy f', 'py fo', 'umpy ', 'y fox'],...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
classes.rst.txt
f_classif feature_selection.f_regression feat...scikit-learn.org/stable/_sources/modules/classes.rst.txt -
plot_kmeans_digits.rst.txt
size print(f"# digits: {n_digits}; # samples:...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
v1.4.rst.txt
f_regression` in :pr:`27239` by...scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt