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decomposition.rst.txt
:class:`IncrementalPCA` only stores estimates of component and...the matrix W. The matrix H is stored into the fitted model in the...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
classes.rst.txt
precision_score metrics.recall_score metrics.roc_auc_score metrics.roc_curve...info_score metrics.rand_score metrics.silhouette_score metri...scikit-learn.org/stable/_sources/modules/classes.rst.txt -
plot_classifier_comparison.rst.txt
y_train) score = clf.score(X_test, y_test) Decis...0.3, y_min + 0.3, ("%.2f" % score).lstrip("0"), size=15, hori...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
faq.rst.txt
scikit-learn works on any numeric data stored as numpy arrays or scipy sparse...:class:`~model_selection.cross_val_score` rely internally on Python's...scikit-learn.org/stable/_sources/faq.rst.txt -
clustering.rst.txt
_rand_score: .. _adjusted_rand_score: Rand index ----------...both :func:`rand_score` :func:`adjusted_rand_score` are **symmetric**:...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
grid_search.rst.txt
and - a :ref:`score function <gridsearch_scoring>`. Two generic...accuracy score is often uninformative). An alternative scoring function...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
getting_started.rst.txt
>>> result['test_score'] # r_squared score is high because dataset...sets, and compute the accuracy score of a pipeline on the test data::...scikit-learn.org/stable/_sources/getting_started.rst.txt -
plot_release_highlights_1_4_0.rst.txt
) print(f"ROC AUC score is {roc_auc_score(y_test, y_decision)}")...er_grid, cv=inner_cv, scoring=scoring_inner_cv, ) outer_cv =...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_4_0.r... -
roadmap.rst.txt
tion` * |ss| multi-metric scoring is slow :issue:`9326` |se|...scikit-learn.org/stable/_sources/roadmap.rst.txt -
preprocessing.rst.txt
score(X_test, y_test) # apply scaling...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt