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  1. 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
    Tue Mar 17 03:44:39 UTC 2026
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  2. 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
    Tue Mar 17 03:44:39 UTC 2026
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  3. rand_score — scikit-learn 1.8.0 documentation

    Gallery examples: Adjustment for chance in clustering performance evaluation
    scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html
    Tue Mar 17 03:44:39 UTC 2026
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  4. mean_poisson_deviance — scikit-learn 1.8.0 docu...

    Gallery examples: Poisson regression and non-normal loss
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html
    Tue Mar 17 03:44:36 UTC 2026
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  5. 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
    Tue Mar 17 03:44:36 UTC 2026
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  6. 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
    Tue Mar 17 03:44:39 UTC 2026
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  7. Bunch — scikit-learn 1.8.0 documentation

    Gallery examples: Species distribution modeling Principal Component Analysis (PCA) on Iris Dataset
    scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html
    Tue Mar 17 03:44:39 UTC 2026
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  8. QuantileRegressor — scikit-learn 1.8.0 document...

    Gallery examples: Quantile regression
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Tue Mar 17 03:44:39 UTC 2026
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  9. 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
    Tue Mar 17 03:44:39 UTC 2026
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  10. 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
    Tue Mar 17 03:44:39 UTC 2026
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