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  1. Model-based and sequential feature selection — ...

    print ( f "ROC AUC score: { roc_auc_score ( y , model . predict_proba...features based a cross-validation score. That is, we start with 0 features...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. Permutation Importance vs Random Forest Feature...

    score ( X_train , y_train ) : .3f...f "RF test accuracy: { rf . score ( X_test , y_test ) : .3f }...
    scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html
    Sat Apr 19 00:31:20 UTC 2025
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  3. Trump administration live updates: TikTok ban d...

    Pinterest Linkedin Latest Stories Final Four Trump admin Tariffs...Gulf of America. Read the full story here. Share Supreme Court allows...
    www.nbcnews.com/politics/trump-administration/live-blog/trump-tariffs-tiktok-musk-doge-immigratio...
    Sat Apr 05 00:51:20 UTC 2025
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  4. ElasticNetCV — scikit-learn 1.6.1 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.ElasticNetCV.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. Semi-supervised Classification on a Text Datase...

    "Micro-averaged F1 score on test set: %0.3f " % f1_score ( y_test , y_pred...training set: 0 Micro-averaged F1 score on test set: 0.885 ----------...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. RegressorTags — scikit-learn 1.6.1 documentation

    RegressorTags ( poor_score : bool = False ) [source] #...regressor. Parameters : poor_score bool, default=False Whether...
    scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html
    Sat Apr 19 00:31:20 UTC 2025
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  7. plot_multi_metric_evaluation.py

    sample_score_mean - sample_score_std, sample_score_mean + sample_score_std,...: range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2,...
    scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py
    Sat Apr 19 00:31:21 UTC 2025
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  8. Probability Calibration curves — scikit-learn 1...

    precision_score , recall_score , f1_score ]: score_name = metric...precision_score , recall_score , f1_score ]: score_name = metric...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html
    Sat Apr 19 00:31:20 UTC 2025
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  9. SequentialFeatureSelector — scikit-learn 1.6.1 ...

    scoring = None , cv = 5 , n_jobs =...based on the cross-validation score of an estimator. In the case...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html
    Sat Apr 19 00:31:21 UTC 2025
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  10. make_scorer — scikit-learn 1.6.1 documentation

    Parameters : score_func callable Score function (or loss...default=True Whether score_func is a score function (default),...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html
    Sat Apr 19 00:31:22 UTC 2025
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