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related_projects.rst.txt
facilitates best practices for testing and documenting estimators....More focused on statistical tests and less on prediction than...scikit-learn.org/stable/_sources/related_projects.rst.txt -
decomposition.rst.txt
To also transform a test set :math:`X`, we multiply it...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
ensemble.rst.txt
train_test_split >>> X_train, X_test, y_train, y_test = train_test_split(X,...X_train, X_test = X[:2000], X[2000:] >>> y_train, y_test = y[:2000],...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
neighbors.rst.txt
X_test, y_train, y_test = train_test_split(X, y, ......>>> print(nca_pipe.score(X_test, y_test)) 0.96190476... .. |nca_classification_1|...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
v1.3.rst.txt
and test curves by default. You can set `score_type="test"` to...`return_indices` to return the train-test indices of each cv split. :pr:`25659`...scikit-learn.org/stable/_sources/whats_new/v1.3.rst.txt -
v1.4.rst.txt
train_test_split` in :pr:`26855` by `Tim...scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt