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  1. make_low_rank_matrix — scikit-learn 1.7.2...

    profile is: ( 1 - tail_strength ) * exp ( - 1.0 * ( i / effective_rank...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Release...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html
    Fri Dec 05 17:52:55 GMT 2025
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  2. LinearDiscriminantAnalysis — scikit-learn...

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...
    Fri Dec 05 17:52:55 GMT 2025
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  3. RandomForestClassifier — scikit-learn 1.7...

    [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
    Fri Dec 05 17:52:54 GMT 2025
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  4. RFECV — scikit-learn 1.7.2 documentation

    ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) For a detailed...estimator , * , step = 1 , min_features_to_select = 1 , cv = None , scoring...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html
    Fri Dec 05 17:52:55 GMT 2025
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  5. spectral_clustering — scikit-learn 1.7.2 ...

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...random_state = 0 ... ) array([1, 1, 1, 0, 0, 0]) Gallery examples...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html
    Fri Dec 05 17:52:55 GMT 2025
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  6. mean_absolute_error — scikit-learn 1.7.2 ...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html
    Fri Dec 05 17:52:54 GMT 2025
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  7. mean_squared_error — scikit-learn 1.7.2 d...

    1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>>...>>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html
    Fri Dec 05 17:52:54 GMT 2025
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  8. enet_path — scikit-learn 1.7.2 documentation

    1.120, 0.620], [-0., -2.129, -1.128], [ 0., 23.046,...For mono-output tasks it is: 1 / ( 2 * n_samples ) * || y - Xw...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html
    Fri Dec 05 17:52:54 GMT 2025
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  9. MultinomialNB — scikit-learn 1.7.2 docume...

    Added in version 1.2. Changed in version 1.4: The default value... MultinomialNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Thu Dec 04 11:53:55 GMT 2025
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  10. CalibratedClassifierCV — scikit-learn 1.7...

    means 1 unless in a joblib.parallel_backend context. -1 means...LinearSVC . Added in version 1.2. method {‘sigmoid’, ‘isotonic’},...
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html
    Fri Dec 05 17:52:54 GMT 2025
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