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  1. d2_pinball_score — scikit-learn 1.8.0 doc...

    Notes Like \(R^2\) , \(D^2\) score may be negative (it...], [ 2 ], [ 3 ], [ 4 ]]) >>> y = np . array ([ 2.5 ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html
    Mon Feb 02 09:23:44 GMT 2026
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  2. Lasso — scikit-learn 1.8.0 documentation

    [ 2 , 2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1)...\(||y||_2^2 / n_{\text{samples}}\) . The target can be a 2-dimensional...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Mon Feb 02 09:23:44 GMT 2026
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  3. Model Complexity Influence — scikit-learn...

    "n_iter_no_change" : 2 , }, "changing_param"..."C" : 1e3 , "gamma" : 2 **- 15 }, "changing_param"...
    scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html
    Mon Feb 02 09:23:44 GMT 2026
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  4. Gradient Boosting regression — scikit-lea...

    2 , 2 ) # `labels` argument in boxplot...permutation methods identify the same 2 strongly predictive features but...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html
    Mon Feb 02 09:23:44 GMT 2026
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  5. make_classification — scikit-learn 1.8.0 ...

    n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html
    Mon Feb 02 09:23:44 GMT 2026
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  6. mean_poisson_deviance — scikit-learn 1.8....

    = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....2. ] >>> mean_poisson_deviance ( y_true , y_pred ) 1.4260......
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html
    Mon Feb 02 09:23:44 GMT 2026
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  7. SVC — scikit-learn 1.8.0 documentation

    [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...>>> y = np . array ([ 1 , 1 , 2 , 2 ]) >>> from sklearn.svm...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
    Mon Feb 02 09:23:44 GMT 2026
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  8. PLSRegression — scikit-learn 1.8.0 docume...

    [ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html
    Mon Feb 02 09:23:44 GMT 2026
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  9. d2_log_loss_score — scikit-learn 1.8.0 do...

    Like R^2, D^2 score may be negative (it need...labels = None ) [source] # \(D^2\) score function, fraction of...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html
    Mon Feb 02 09:23:44 GMT 2026
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  10. mean_variance_axis — scikit-learn 1.8.0 d...

    2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html
    Mon Feb 02 09:23:44 GMT 2026
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