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  1. f1_score — scikit-learn 1.8.0 documentation

    Compute the F1 score, also known as balanced F-score or F-measure....an F1 score reaches its best value at 1 and worst score at 0....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html
    Mon Mar 23 20:39:23 UTC 2026
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  2. validation_curve — scikit-learn 1.8.0 documenta...

    test scores for varying parameter values. Compute scores for an...5-fold. scoring str or callable, default=None Scoring method to...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. HalvingGridSearchCV — scikit-learn 1.8.0 docume...

    Returns : score float The score defined by scoring if provided,...needs to provide a score function, or scoring must be passed. param_grid...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. Reciprocal rank fusion | Elasticsearch Reference

    determine the score for ranking each document: score = 0.0 for q...the rrf scores would be: # doc | queryA | queryB | score _id: 1...
    www.elastic.co/docs/reference/elasticsearch/rest-apis/reciprocal-rank-fusion
    Sat Jun 06 17:25:57 UTC 2026
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  5. TransformedTargetRegressor — scikit-learn 1.8.0...

    Notes The \(R^2\) score used when calling score on a regressor uses...TransformedTargetReg(...) >>> tt . score ( X , y ) 1.0 >>> tt . regressor_...
    scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html
    Mon Mar 23 20:39:23 UTC 2026
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  6. Custom refit strategy of a grid search with cro...

    define the scores to select the best candidate. scores = [ "precision"...(), tuned_parameters , scoring = scores , refit = refit_strategy...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html
    Mon Mar 23 20:39:22 UTC 2026
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  7. LinearRegression — scikit-learn 1.8.0 documenta...

    Notes The \(R^2\) score used when calling score on a regressor uses...() . fit ( X , y ) >>> reg . score ( X , y ) 1.0 >>> reg . coef_...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. Two-class AdaBoost — scikit-learn 1.8.0 documen...

    decision scores. The distributions of decision scores are shown...the decision score. Samples with decision scores greater than...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. check_scoring — scikit-learn 1.8.0 documentation

    scoring = scoring , raise_exc = False ) >>> scores = scoring_call...Scorer to use. If scoring represents a single score, one can use:...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. brier_score_loss — scikit-learn 1.8.0 documenta...

    the Brier score loss. The smaller the Brier score loss, the better,...outcome. The Brier score is a strictly proper scoring rule. Read more...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html
    Mon Mar 23 20:39:21 UTC 2026
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