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  1. GaussianNB — scikit-learn 1.8.0 documentation

    Gallery examples: Probability calibration of classifiers Probability Calibration curves Comparison of Calibration of Classifiers Classifier comparison Plotting Learning Curves and Checking Models’ ...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html
    Tue Mar 17 03:44:39 UTC 2026
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  2. ClassicalMDS — scikit-learn 1.8.0 documentation

    Gallery examples: Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Manifold Learning methods on a severed sphere Multi-dimensional ...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.ClassicalMDS.html
    Tue Mar 17 03:44:39 UTC 2026
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  3. make_regression — scikit-learn 1.8.0 documentation

    Gallery examples: Prediction Latency Effect of transforming the targets in regression model Comparing Linear Bayesian Regressors Fitting an Elastic Net with a precomputed Gram Matrix and Weighted S...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html
    Tue Mar 17 03:44:39 UTC 2026
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  4. make_s_curve — scikit-learn 1.8.0 documentation

    Gallery examples: Comparison of Manifold Learning methods t-SNE: The effect of various perplexity values on the shape Release Highlights for scikit-learn 1.8
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html
    Tue Mar 17 03:44:39 UTC 2026
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  5. mutual_info_score — scikit-learn 1.8.0 document...

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

    Skip to main content Back to top Ctrl + K GitHub Choose version max_error # sklearn.metrics. max_error ( y_true , y_p...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html
    Tue Mar 17 03:44:39 UTC 2026
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  7. explained_variance_score — scikit-learn 1.8.0 d...

    Skip to main content Back to top Ctrl + K GitHub Choose version explained_variance_score # sklearn.metrics. explained...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html
    Tue Mar 17 03:44:36 UTC 2026
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  8. fbeta_score — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version fbeta_score # sklearn.metrics. fbeta_score ( y_true ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html
    Tue Mar 17 03:44:39 UTC 2026
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  9. median_absolute_error — scikit-learn 1.8.0 docu...

    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
    Tue Mar 17 03:44:39 UTC 2026
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  10. normalized_mutual_info_score — scikit-learn 1.8...

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