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  1. AffinityPropagation — scikit-learn 1.8.0 ...

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2.... labels_ array([0, 0, 0, 1, 1, 1]) >>> clustering ....
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html
    Mon Jan 26 11:09:14 GMT 2026
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  2. dbscan — scikit-learn 1.8.0 documentation

    1, 2, 3, 4]) >>> labels array([ 0, 0, 0, 1, 1, -1])...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/dbscan-function.html
    Mon Jan 26 11:09:17 GMT 2026
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  3. hamming_loss — scikit-learn 1.8.0 documen...

    1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html
    Mon Jan 26 11:09:14 GMT 2026
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  4. davies_bouldin_score — scikit-learn 1.8.0...

    1 ], [ 1 , 1 ], [ 3 , 4 ]] >>>...Davies-Bouldin score. References [ 1 ] Davies, David L.; Bouldin, Donald...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.davies_bouldin_score.html
    Mon Jan 26 14:16:33 GMT 2026
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  5. LogisticRegression — scikit-learn 1.8.0 d...

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...since version 1.8: penalty was deprecated in version 1.8 and will...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
    Mon Jan 26 11:09:14 GMT 2026
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  6. label_ranking_average_precision_score — s...

    1 ], [ 1 , 0.2 , 0.1 ]]) >>> la...y_true = np . array ([[ 1 , 0 , 0 ], [ 0 , 0 , 1 ]]) >>> y_score...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_average_precision_score.html
    Mon Jan 26 14:16:30 GMT 2026
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  7. mean_absolute_percentage_error — scikit-l...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...= [ 1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html
    Mon Jan 26 11:09:12 GMT 2026
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  8. PolynomialCountSketch — scikit-learn 1.8....

    [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y...Array with random entries in {+1, -1}, used to represent the 2-wise...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html
    Mon Jan 26 14:16:33 GMT 2026
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  9. mean_variance_axis — scikit-learn 1.8.0 d...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...of CSR or CSC format. axis {0, 1} Axis along which the axis should...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html
    Mon Dec 29 13:14:49 GMT 2025
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  10. affinity_propagation — scikit-learn 1.8.0...

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...>>> labels array([0, 0, 0, 1, 1, 1]) Gallery examples # Visualizing...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.affinity_propagation.html
    Mon Jan 26 11:09:17 GMT 2026
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