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  1. PolynomialCountSketch — scikit-learn 1.8....

    Gallery examples: Scalable learning with polynomial kernel approximation Release Highlights for scikit-learn 0.24
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html
    Mon Jan 19 11:28:23 GMT 2026
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  2. root_mean_squared_error — scikit-learn 1....

    Gallery examples: Lagged features for time series forecasting Features in Histogram Gradient Boosting Trees
    scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html
    Mon Jan 19 11:28:25 GMT 2026
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  3. hamming_loss — scikit-learn 1.8.0 documen...

    Gallery examples: Model Complexity Influence
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html
    Mon Jan 19 11:28:24 GMT 2026
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  4. d2_pinball_score — scikit-learn 1.8.0 doc...

    Skip to main content Back to top Ctrl + K GitHub Choose version d2_pinball_score # sklearn.metrics. d2_pinball_score ...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html
    Mon Jan 19 11:28:23 GMT 2026
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  5. MDS — 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.MDS.html
    Mon Jan 19 11:28:25 GMT 2026
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  6. f1_score — scikit-learn 1.8.0 documentation

    Gallery examples: Probability Calibration curves Precision-Recall Semi-supervised Classification on a Text Dataset
    scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html
    Mon Jan 19 11:28:23 GMT 2026
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  7. brier_score_loss — scikit-learn 1.8.0 doc...

    Gallery examples: Probability calibration of classifiers Probability Calibration curves Probability Calibration for 3-class classification Examples of Using FrozenEstimator
    scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html
    Mon Jan 19 11:28:23 GMT 2026
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  8. confusion_matrix — scikit-learn 1.8.0 doc...

    Gallery examples: Visualizations with Display Objects Evaluate the performance of a classifier with Confusion Matrix Post-tuning the decision threshold for cost-sensitive learning Release Highlight...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html
    Mon Jan 19 11:28:23 GMT 2026
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  9. average_precision_score — scikit-learn 1....

    Gallery examples: Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html
    Mon Jan 19 11:28:24 GMT 2026
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  10. top_k_accuracy_score — scikit-learn 1.8.0...

    Skip to main content Back to top Ctrl + K GitHub Choose version top_k_accuracy_score # sklearn.metrics. top_k_accurac...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html
    Mon Jan 19 11:28:25 GMT 2026
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