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classification_report — scikit-learn 1.8.0 docu...
Gallery examples: Faces recognition example using eigenfaces and SVMs Recognizing hand-written digits Column Transformer with Heterogeneous Data Sources Pipeline ANOVA SVM Custom refit strategy of ...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
r2_score — scikit-learn 1.8.0 documentation
Gallery examples: Effect of transforming the targets in regression model Failure of Machine Learning to infer causal effects L1-based models for Sparse Signals Non-negative least squares Ordinary L...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
rand_score — scikit-learn 1.8.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
mean_poisson_deviance — scikit-learn 1.8.0 docu...
scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
QuantileTransformer — scikit-learn 1.8.0 docume...
Gallery examples: Effect of transforming the targets in regression model Partial Dependence and Individual Conditional Expectation Plots Compare the effect of different scalers on data with outlier...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
MinMaxScaler — scikit-learn 1.8.0 documentation
Gallery examples: Time-related feature engineering Image denoising using kernel PCA Selecting dimensionality reduction with Pipeline and GridSearchCV Univariate Feature Selection Recursive feature ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
Bunch — scikit-learn 1.8.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
QuantileRegressor — scikit-learn 1.8.0 document...
scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.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 -
Binarizer — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version Binarizer # class sklearn.preprocessing. Binarizer ( ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html