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model_evaluation.rst.txt
ion_score` 'neg_brier_score' :func:`metrics.brier_score_loss`...l_info_score` 'rand_score' :func:`metrics.rand_score` 'v_measure_score'...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
cross_validation.rst.txt
>>> scores = cross_val_score(clf, X, y, cv=5) >>> scores array([0.96...,...>>> scores = cross_val_score( ... clf, X, y, cv=5, scoring='f1_macro')...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
feature_selection.rst.txt
input a scoring function that returns univariate scores and p-values...provide a `score_func` where `y=None`. The `score_func` should...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
linear_model.rst.txt
``y`` and will store the coefficients :math:`w` of...arrays ``X``, ``y`` and will store the coefficients :math:`w` of...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
plot_multi_metric_evaluation.rst.txt
sample_score_mean - sample_score_std, sample_score_mean + sample_score_std,...: range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2,...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
about.rst.txt
There are scores of sponsors who contributed...scikit-learn.org/stable/_sources/about.rst.txt -
neighbors.rst.txt
but simply stores instances of the training data....increases, the memory required to store a tree structure decreases....scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
feature_extraction.rst.txt
features need not be stored) and storing feature names in addition...Sparse...dtype 'float64' with 6 stored elements and shape (1, 6)>...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
related_projects.rst.txt
ai/>`_ Metadata store for MLOps, built for teams that...you a single place to log, store, display, organize, compare,...scikit-learn.org/stable/_sources/related_projects.rst.txt -
ensemble.rst.txt
>>> scores = cross_val_score(clf, X, y, cv=5) >>> scores.mean()...>>> scores = cross_val_score(clf, X, y, cv=5) >>> scores.mean()...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt