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  1. MultiOutputClassifier — scikit-learn 1.8....

    Skip to main content Back to top Ctrl + K GitHub Choose version MultiOutputClassifier # class sklearn.multioutput. Mu...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputClassifier.html
    Mon Jan 12 10:07:40 GMT 2026
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  2. LeavePOut — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version LeavePOut # class sklearn.model_selection. LeavePOut ...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html
    Mon Jan 12 10:07:41 GMT 2026
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  3. median_absolute_error — scikit-learn 1.8....

    Gallery examples: Effect of transforming the targets in regression model Common pitfalls in the interpretation of coefficients of linear models
    scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html
    Mon Jan 12 10:07:40 GMT 2026
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  4. paired_cosine_distances — scikit-learn 1....

    Skip to main content Back to top Ctrl + K GitHub Choose version paired_cosine_distances # sklearn.metrics.pairwise. p...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html
    Mon Jan 12 10:07:40 GMT 2026
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  5. LinearSVR — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version LinearSVR # class sklearn.svm. LinearSVR ( * , epsilo...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html
    Mon Jan 12 10:07:40 GMT 2026
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  6. NuSVC — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version NuSVC # class sklearn.svm. NuSVC ( * , nu = 0.5 , ker...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html
    Mon Jan 12 10:07:38 GMT 2026
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  7. add_dummy_feature — scikit-learn 1.8.0 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version add_dummy_feature # sklearn.preprocessing. add_dummy_...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html
    Mon Jan 12 10:07:41 GMT 2026
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  8. RocCurveDisplay — scikit-learn 1.8.0 docu...

    Gallery examples: Feature transformations with ensembles of trees Visualizations with Display Objects Evaluation of outlier detection estimators ROC Curve with Visualization API Post-tuning the dec...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html
    Mon Jan 12 10:07:40 GMT 2026
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  9. MaxAbsScaler — scikit-learn 1.8.0 documen...

    Gallery examples: Compare the effect of different scalers on data with outliers
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html
    Mon Jan 12 10:07:41 GMT 2026
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  10. BernoulliNB — scikit-learn 1.8.0 document...

    Gallery examples: Hashing feature transformation using Totally Random Trees
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
    Mon Jan 12 10:07:40 GMT 2026
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