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zero_one_loss — scikit-learn 1.8.0 docume...
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 -
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 -
BayesianGaussianMixture — scikit-learn 1....
Gallery examples: Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Gaussian Mixture Model Ellipsoids Gaussian Mixture Model Sine Curvescikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
ParameterGrid — scikit-learn 1.8.0 docume...
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 -
FixedThresholdClassifier — scikit-learn 1...
Gallery examples: Visualizing the probabilistic predictions of a VotingClassifier Examples of Using FrozenEstimator Post-tuning the decision threshold for cost-sensitive learning Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
scale — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version scale # sklearn.preprocessing. scale ( X , * , axis =...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
ParameterSampler — scikit-learn 1.8.0 doc...
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 -
PrecisionRecallDisplay — scikit-learn 1.8...
Gallery examples: Visualizations with Display Objects Post-tuning the decision threshold for cost-sensitive learning Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
rand_score — scikit-learn 1.8.0 documenta...
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
coverage_error — scikit-learn 1.8.0 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version coverage_error # sklearn.metrics. coverage_error ( y_...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html