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  1. RidgeCV — scikit-learn 1.8.0 documentation

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    Gallery examples: Time-related feature engineering Effect of transforming the targets in regression model Combine predictors using stacking Model-based and sequential feature selection Common pitfa...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html
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    Tue Mar 17 03:44:39 UTC 2026
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  2. CalibrationDisplay — scikit-learn 1.8.0 documen...

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    Gallery examples: Probability Calibration curves Comparison of Calibration of Classifiers Plot classification probability Release Highlights for scikit-learn 1.8
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html
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  3. balanced_accuracy_score — scikit-learn 1.8.0 do...

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    Skip to main content Back to top Ctrl + K GitHub Choose version balanced_accuracy_score # sklearn.metrics. balanced_a...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html
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  4. cohen_kappa_score — scikit-learn 1.8.0 document...

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    Skip to main content Back to top Ctrl + K GitHub Choose version cohen_kappa_score # sklearn.metrics. cohen_kappa_scor...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html
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  5. mean_tweedie_deviance — scikit-learn 1.8.0 docu...

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    Gallery examples: Tweedie regression on insurance claims
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html
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    Tue Mar 17 03:44:37 UTC 2026
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  6. coverage_error — scikit-learn 1.8.0 documentation

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    Skip to main content Back to top Ctrl + K GitHub Choose version coverage_error # sklearn.metrics. coverage_error ( y_...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html
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    Tue Mar 17 03:44:36 UTC 2026
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  7. PrecisionRecallDisplay — scikit-learn 1.8.0 doc...

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    Gallery examples: Visualizations with Display Objects Post-tuning the decision threshold for cost-sensitive learning Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html
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    Tue Mar 17 03:44:37 UTC 2026
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  8. det_curve — scikit-learn 1.8.0 documentation

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    Gallery examples: Evaluate the performance of a classifier with Confusion Matrix Detection error tradeoff (DET) curve
    scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html
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  9. root_mean_squared_log_error — scikit-learn 1.8....

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    Skip to main content Back to top Ctrl + K GitHub Choose version root_mean_squared_log_error # sklearn.metrics. root_m...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_log_error.html
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  10. log_loss — scikit-learn 1.8.0 documentation

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    Gallery examples: Probability Calibration curves Probability Calibration for 3-class classification Plot classification probability Gradient Boosting Out-of-Bag estimates Gradient Boosting regulari...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html
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