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  1. fbeta_score — scikit-learn 1.7.0 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
    Mon Jul 07 14:36:32 UTC 2025
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  2. ndcg_score — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version ndcg_score # sklearn.metrics. ndcg_score ( y_true , y...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html
    Mon Jul 07 14:36:32 UTC 2025
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  3. Support Vector Machines — scikit-learn 1.7.0 do...

    Examples concerning the sklearn.svm module. One-class SVM with non-linear kernel (RBF) Plot classification boundaries with different SVM Kernels Plot different SVM classifiers in the iris dataset P...
    scikit-learn.org/stable/auto_examples/svm/index.html
    Mon Jul 07 14:36:35 UTC 2025
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  4. r_regression — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version r_regression # sklearn.feature_selection. r_regressio...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.r_regression.html
    Mon Jul 07 14:36:35 UTC 2025
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  5. max_error — scikit-learn 1.7.0 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
    Mon Jul 07 14:36:34 UTC 2025
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  6. GMM Initialization Methods — scikit-learn 1.7.0...

    Examples of the different methods of initialization in Gaussian Mixture Models See Gaussian mixture models for more information on the estimator. Here we generate some sample data with four easy to...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html
    Mon Jul 07 14:36:35 UTC 2025
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  7. 5. Inspection — scikit-learn 1.7.0 documentation

    Predictive performance is often the main goal of developing machine learning models. Yet summarizing performance with an evaluation metric is often insufficient: it assumes that the evaluation metr...
    scikit-learn.org/stable/inspection.html
    Mon Jul 07 14:36:32 UTC 2025
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  8. sklearn.preprocessing — scikit-learn 1.7.0 docu...

    Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.
    scikit-learn.org/stable/api/sklearn.preprocessing.html
    Mon Jul 07 14:36:32 UTC 2025
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  9. config_context — scikit-learn 1.7.0 documentation

    Gallery examples: Introducing the set_output API
    scikit-learn.org/stable/modules/generated/sklearn.config_context.html
    Mon Jul 07 14:36:35 UTC 2025
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  10. calibration_curve — scikit-learn 1.7.0 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version calibration_curve # sklearn.calibration. calibration_...
    scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html
    Mon Jul 07 14:36:34 UTC 2025
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