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  1. RBF — scikit-learn 1.8.0 documentation

    x_j)^2}{2l^2} \right)\] where \(l\) is the...very smooth. See [2] , Chapter 4, Section 4.2, for further details...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html
    Mon Dec 22 11:58:31 GMT 2025
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  2. Compare cross decomposition methods — sci...

    that: Y = XB + Err) [[1 1 1] [2 2 2] [0 0 0] [0 0 0] [0 0 0] [0...comp. 2" ) plt . title ( "X comp. 1 vs X comp. 2 (test...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html
    Mon Dec 22 11:58:31 GMT 2025
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  3. mean_tweedie_deviance — scikit-learn 1.8....

    = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....y_pred > 0. 1 < p < 2 : Compound Poisson distribution....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html
    Mon Dec 22 11:58:29 GMT 2025
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  4. confusion_matrix — scikit-learn 1.8.0 doc...

    >>> y_true = [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred...y_pred = [ 0 , 0 , 2 , 2 , 0 , 2 ] >>> confusion_matrix...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html
    Mon Dec 22 11:58:31 GMT 2025
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  5. zero_one_loss — scikit-learn 1.8.0 docume...

    2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ]...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 On this page This Page...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html
    Mon Dec 22 11:58:31 GMT 2025
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  6. LeavePGroupsOut — scikit-learn 1.8.0 docu...

    group=[2] Test: index=[0 2], group=[1 3] Fold 2: Train: index=[0],...([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html
    Mon Dec 22 11:58:31 GMT 2025
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  7. Receiver Operating Characteristic (ROC) with cr...

    = 2 ], y [ y != 2 ] n_samples , n_features...linearly separable from the other 2; the latter are not linearly separable...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html
    Mon Dec 22 11:58:29 GMT 2025
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  8. auto_examples_python.zip

    - l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2 mask =...+ 1, figsize=(4 * 2.2, n_classifiers * 2.2), ) evaluation_results...
    scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
    Mon Dec 15 15:02:30 GMT 2025
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  9. d2_pinball_score &#8212; scikit-learn 1.8.0 doc...

    Notes Like \(R^2\) , \(D^2\) score may be negative (it...], [ 2 ], [ 3 ], [ 4 ]]) &gt;&gt;&gt; y = np . array ([ 2.5 ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html
    Mon Dec 22 11:58:31 GMT 2025
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  10. plot_classifier_comparison.zip

    make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...
    scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip
    Fri Dec 05 17:52:54 GMT 2025
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