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  1. Adjustment for chance in clustering performance...

    ( score_name , score_func ) in zip ( "d^vx.," , score_funcs...): scores = fixed_classes_uniform_labelings_scores ( score_func...
    scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. DensityMixin — scikit-learn 1.7.0 documentation

    "score" ) True score ( X , y = None ) [source]...through the estimator_type tag; score method that default that do...
    scikit-learn.org/stable/modules/generated/sklearn.base.DensityMixin.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. hamming_loss — scikit-learn 1.7.0 documentation

    also accuracy_score Compute the accuracy score. By default, the...jaccard_score Compute the Jaccard similarity coefficient score. zero_one_loss...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. Target Encoder’s Internal Cross fitting — sciki...

    "Raw Model score on training set: " , raw_model . score ( X_train..."Raw Model score on test set: " , raw_model . score ( X_test ,...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. ExtraTreesClassifier — scikit-learn 1.7.0 docum...

    generalization score. By default, accuracy_score is used. Provide...fit is performed. oob_score_ float Score of the training dataset...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html
    Thu Jul 03 11:42:06 UTC 2025
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  6. Version 0.16 — scikit-learn 1.7.0 documentation

    f1_score , sklearn.metrics.fbeta_score , sklearn.metrics.recall_score...sklearn.metrics.recall_score and sklearn.metrics.precision_score when performing...
    scikit-learn.org/stable/whats_new/v0.16.html
    Thu Jul 03 11:42:06 UTC 2025
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  7. Ridge — scikit-learn 1.7.0 documentation

    Notes The \(R^2\) score used when calling score on a regressor uses...default value of r2_score . This influences the score method of all...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html
    Thu Jul 03 11:42:05 UTC 2025
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  8. OOB Errors for Random Forests — scikit-learn 1....

    oob_score = True , max_features = "sqrt"...max_features = "log2" , oob_score = True , random_state = RANDOM_STATE...
    scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. MNIST classification using multinomial logistic...

    coef_ == 0 ) * 100 score = clf . score ( X_test , y_test ) #...print ( "Test score with L1 penalty: %.4f " % score ) coef = clf...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. Examples of Using FrozenEstimator — scikit-lear...

    1 ] clf_score = brier_score_loss ( y_test , prob_pos_clf...)[:, 1 ] calibrated_score = brier_score_loss ( y_test , prob_pos_calibrated...
    scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html
    Thu Jul 03 11:42:06 UTC 2025
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