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cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
feature_selection.rst.txt
based on univariate statistical tests. It can be seen as a preprocessing...common univariate statistical tests for each feature: false positive...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
linear_model.rst.txt
* Medical Drug Testing: probability of curing a patient...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
roadmap.rst.txt
Improve scikit-learn common tests suite to make sure that (at...scikit-learn.org/stable/_sources/roadmap.rst.txt -
classes.rst.txt
train_test_split .. _hyper_parameter_optimizers:...model_selection.permutation_test_score model_selection.validation_curve...scikit-learn.org/stable/_sources/modules/classes.rst.txt -
feature_extraction.rst.txt
testing.assert_array_equal(one_image,...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
preprocessing.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=42)...pipe.score(X_test, y_test) # apply scaling on testing data, without...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
glossary.rst.txt
common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/stable/_sources/glossary.rst.txt -
plot_release_highlights_1_4_0.rst.txt
X_test, y_train, y_test = train_test_split(X_adult,...n(X_test) print(f"ROC AUC score is {roc_auc_score(y_test, y_decision)}")...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_4_0.r...