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  1. LinearSVR — scikit-learn 1.8.0 documentation

    Notes The \(R^2\) score used when calling score on a regressor uses...(n_samples,) Returns predicted values. score ( X , y , sample_weight = None...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. Monotonic Constraints — scikit-learn 1.8.0 docu...

    23 'auto' scoring scoring: str or callable or None,...versionadded:: 0.23 'auto' scoring scoring: str or callable or None,...
    scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. d2_log_loss_score — scikit-learn 1.8.0 document...

    = None ) [source] # \(D^2\) score function, fraction of log loss...loss explained. Best possible score is 1.0 and it can be negative...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html
    Mon Mar 23 20:39:23 UTC 2026
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  4. Clustering text documents using k-means — sciki...

    section we define a function to score different clustering pipelines...else name train_times = [] scores = defaultdict ( list ) for...
    scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. CalibratedClassifierCV — scikit-learn 1.8.0 doc...

    Transforming Classifier Scores into Accurate Multiclass Probability...n_classes) The predicted probas. score ( X , y , sample_weight = None...
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. make_scorer — scikit-learn 1.8.0 documentation

    estimators or functions allowing a scoring parameter. The parameter response_method...should be used to feed the scoring/loss function. Read more in...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html
    Mon Mar 23 20:39:21 UTC 2026
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  7. 1.13. Feature selection — scikit-learn 1.8.0 do...

    input a scoring function that returns univariate scores and p-values...improve estimators’ accuracy scores or to boost their performance...
    scikit-learn.org/stable/modules/feature_selection.html
    Mon Mar 23 20:39:20 UTC 2026
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  8. Tweedie regression on insurance claims — scikit...

    "score" ): continue score = estimator . score ( X , y..."metric" : score_label , "score" : score }) res = ( pd . DataFrame...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. PoissonRegressor — scikit-learn 1.8.0 documenta...

    score ( X , y ) np.float64(0.990)...(n_samples,) Returns predicted values. score ( X , y , sample_weight = None...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. RandomForestRegressor — scikit-learn 1.8.0 docu...

    Notes The \(R^2\) score used when calling score on a regressor uses...with Friedman’s improvement score for potential splits, “absolute_error”...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html
    Mon Mar 23 20:39:20 UTC 2026
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