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  1. make_friedman1 — scikit-learn 1.8.0 docum...

    Annals of Statistics 19 (1), pages 1-67, 1991. [ 2 ] L. Breiman,...[source] # Generate the “Friedman #1” regression problem. This dataset...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html
    Mon Feb 16 16:33:27 GMT 2026
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  2. RadiusNeighborsRegressor — scikit-learn 1...

    () array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html
    Mon Feb 16 16:32:33 GMT 2026
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  3. SVM: Weighted samples — scikit-learn 1.8....

    n_clusters_per_class = 1 , class_sep = 1.1 , weights = [ 0.9 , 0.1 ], random_state...( X_plot [:, 0 ], X_plot [:, 1 ], c = y_plot , s = 100 * sample_weight...
    scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
    Mon Feb 16 16:33:25 GMT 2026
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  4. SVC — scikit-learn 1.8.0 documentation

    array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
    Mon Feb 16 16:32:34 GMT 2026
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  5. SpectralCoclustering — scikit-learn 1.8.0...

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html
    Mon Feb 16 16:32:34 GMT 2026
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  6. Visualizations with Display Objects — sci...

    deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html
    Mon Feb 16 16:32:34 GMT 2026
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  7. SGDRegressor — scikit-learn 1.8.0 documen...

    <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....passive-aggressive algorithm 1, see [1] . Only with loss='epsilon_insensitive'...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html
    Mon Feb 16 16:33:27 GMT 2026
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  8. Binarizer — scikit-learn 1.8.0 documentation

    ( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html
    Mon Feb 16 16:33:27 GMT 2026
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  9. ParameterGrid — scikit-learn 1.8.0 docume...

    'a' : 1 , 'b' : True }, { 'a' : 1 , 'b'...param_grid = { 'a' : [ 1 , 2 ], 'b' : [ True ,...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html
    Mon Feb 16 16:33:27 GMT 2026
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  10. r2_score — scikit-learn 1.8.0 documentation

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...cross-validation). Added in version 1.1. Returns : z float or ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html
    Mon Feb 16 16:33:27 GMT 2026
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