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MultiLabelBinarizer — scikit-learn 1.6.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version MultiLabelBinarizer # class sklearn.preprocessing. Mu...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
QuantileRegressor — scikit-learn 1.6.1 document...
scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
PrecisionRecallDisplay — scikit-learn 1.6.1 doc...
Gallery examples: Visualizations with Display Objects Precision-Recall Post-tuning the decision threshold for cost-sensitive learning Precision-Recall Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
ParameterGrid — scikit-learn 1.6.1 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 -
KFold — scikit-learn 1.6.1 documentation
Gallery examples: Feature agglomeration vs. univariate selection Comparing Random Forests and Histogram Gradient Boosting models Gradient Boosting Out-of-Bag estimates Nested versus non-nested cros...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
OneClassSVM — scikit-learn 1.6.1 documentation
Gallery examples: Outlier detection on a real data set Species distribution modeling One-Class SVM versus One-Class SVM using Stochastic Gradient Descent Comparing anomaly detection algorithms for ...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html -
DecisionTreeRegressor — scikit-learn 1.6.1 docu...
Gallery examples: Release Highlights for scikit-learn 0.24 Release Highlights for scikit-learn 0.22 Decision Tree Regression Decision Tree Regression with AdaBoost Single estimator versus bagging: ...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
CategoricalNB — scikit-learn 1.6.1 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 -
RobustScaler — scikit-learn 1.6.1 documentation
Gallery examples: Evaluation of outlier detection estimators Compare the effect of different scalers on data with outliersscikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
scale — scikit-learn 1.6.1 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