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  1. Support — scikit-learn 1.7.0 documentation

    Resources # This documentation is for 1.7.0. Documentation for other versions...
    scikit-learn.org/stable/support.html
    Fri Jun 06 09:13:48 UTC 2025
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  2. Label Propagation digits: Demonstrating perform...

    support 0 1.00 1.00 1.00 27 1 0.82 1.00 0.90 37 2 1.00 0.86 0.92...0.92 28 3 1.00 0.80 0.89 35 4 0.92 1.00 0.96 24 5 0.74 0.94 0.83...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html
    Fri Jun 06 09:13:47 UTC 2025
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  3. Biclustering documents with the Spectral Co-clu...

    Done in 1.18s. V-measure: 0.4415 MiniBatchKMeans......alphalpha, proline, benson bicluster 1 : 1948 documents, 4325 words categories...
    scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html
    Fri Jun 06 09:13:47 UTC 2025
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  4. Principal Component Analysis (PCA) on Iris Data...

    figure ( 1 , figsize = ( 8 , 6 )) ax = fig...X_reduced [:, 0 ], X_reduced [:, 1 ], X_reduced [:, 2 ], c = iris...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html
    Fri Jun 06 09:13:47 UTC 2025
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  5. Multi-class AdaBoosted Decision Trees — scikit-...

    as depicted by Figure 1 in Zhu et al [ 1 ] . The core principle...of trees" : range ( 1 , n_estimators + 1 ), "AdaBoost" : [ m...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html
    Fri Jun 06 09:13:47 UTC 2025
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  6. Common pitfalls in the interpretation of coeffi...

    1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04,...ray([1.e-10, 1.e-09, 1.e-08, 1.e-07, 1.e-06, 1.e-05, 1.e-04,...
    scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html
    Fri Jun 06 09:13:47 UTC 2025
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  7. Release Highlights — scikit-learn 1.7.0 documen...

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.7 Release Highlights for scikit-learn 1.7 Release...
    scikit-learn.org/stable/auto_examples/release_highlights/index.html
    Fri Jun 06 09:13:47 UTC 2025
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  8. SVM: Maximum margin separating hyperplane — sci...

    levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...support_vectors_ [:, 1 ], s = 100 , linewidth = 1 , facecolors = "none"...
    scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html
    Fri Jun 06 09:13:47 UTC 2025
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  9. HuberRegressor vs Ridge on dataset with strong ...

    ) epsilon_values = [ 1 , 1.5 , 1.75 , 1.9 ] for k , epsilon in...n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0...
    scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html
    Fri Jun 06 09:13:47 UTC 2025
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  10. Class Likelihood Ratios to measure classificati...

    param to positive negative mean 1.0 1.0 std 0.0 0.0 The absence of...linspace ( 0.1 , 0.8 , 6 ) weights = weights [:: - 1 ] # fit and...
    scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html
    Fri Jun 06 09:13:47 UTC 2025
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