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det_curve — scikit-learn 1.8.0 documentation
Gallery examples: Evaluate the performance of a classifier with Confusion Matrix Detection error tradeoff (DET) curvescikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
cohen_kappa_score — scikit-learn 1.8.0 document...
Skip to main content Back to top Ctrl + K GitHub Choose version cohen_kappa_score # sklearn.metrics. cohen_kappa_scor...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
zero_one_loss — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version zero_one_loss # sklearn.metrics. zero_one_loss ( y_tr...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
ParameterGrid — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version ParameterGrid # class sklearn.model_selection. Parame...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
ParameterSampler — scikit-learn 1.8.0 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version ParameterSampler # class sklearn.model_selection. Par...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html -
permutation_test_score — scikit-learn 1.8.0 doc...
Gallery examples: Test with permutations the significance of a classification scorescikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
KFold — scikit-learn 1.8.0 documentation
Gallery examples: Feature agglomeration vs. univariate selection Comparing Random Forests and Histogram Gradient Boosting models Gradient Boosting Out-of-Bag estimates Visualizing cross-validation ...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
CategoricalNB — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version CategoricalNB # class sklearn.naive_bayes. Categorica...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
check_cv — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_cv # sklearn.model_selection. check_cv ( cv = 5...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
FeatureUnion — scikit-learn 1.8.0 documentation
Gallery examples: Time-related feature engineering Concatenating multiple feature extraction methodsscikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html