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  1. Multilabel classification — scikit-learn 1.7.0 ...

    if transform == "pca" : X = PCA ( n_components = 2 ) . fit_transform...elif transform == "cca" : X = CCA ( n_components = 2 ) . fit ( X...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html
    Mon Jun 30 13:50:27 UTC 2025
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  2. Plot multi-class SGD on the iris dataset — scik...

    mean ( axis = 0 ) std = X . std ( axis = 0 ) X = ( X - mean ) /...dataset X = iris . data [:, : 2 ] y = iris . target colors = "bry"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
    Mon Jun 30 13:50:30 UTC 2025
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  3. plot_multi_metric_evaluation.rst.txt

    py: ========== Demonstration of multi-metric...cross_val_score and GridSearchCV ========== Multiple metric parameter...
    scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt
    Sun Jun 29 19:04:31 UTC 2025
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  4. Plot class probabilities calculated by the Voti...

    random_state = 123 ) clf2 = RandomForestClassifi ( n_estimators = 100..., random_state = 123 ) clf3 = GaussianNB () X = np . array ([[...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html
    Thu Jun 05 00:23:05 UTC 2025
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  5. Effect of model regularization on training and ...

    n_informative = 50 , shuffle = False , noise = 1.0 , coef = True , random_state...color = "k" , linewidth = 2 , linestyle = "--" , label = f "Optimum...
    scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html
    Mon Jun 30 13:50:27 UTC 2025
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  6. Hashing feature transformation using Totally Ra...

    y = make_circles ( factor = 0.5 , random_state = 0 , noise...random_state = 0 , max_depth = 3 ) X_transformed = hasher . fit_transform...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html
    Mon Jun 30 13:50:27 UTC 2025
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  7. non_negative_factorization — scikit-learn 1.7.0...

    W = None , H = None , n_components = 'auto' , * , init = None...tol = 0.0001 , max_iter = 200 , alpha_W = 0.0 , alpha_H = 'same'...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html
    Mon Jun 30 13:50:27 UTC 2025
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  8. RadiusNeighborsTransformer — scikit-learn 1.7.0...

    leaf_size = 30 , metric = 'minkowski' , p = 2 , metric_params = None...* , mode = 'distance' , radius = 1.0 , algorithm = 'auto' , leaf_size...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html
    Mon Jun 30 13:50:28 UTC 2025
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  9. Permutation Importance with Multicollinear or C...

    random_state = 42 , n_jobs = 2 ) perm_sorted_idx = result . importances_mean..., y = load_breast_cancer ( return_X_y = True , as_frame = True...
    scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html
    Mon Jun 30 13:50:30 UTC 2025
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  10. rand_score — scikit-learn 1.7.0 documentation

    The raw RI score [3] is: RI = (number of agreeing pairs) / (number...array-like of shape (n_samples,), dtype=integral Ground truth class labels...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html
    Mon Jun 30 13:50:27 UTC 2025
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