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  1. Multi-class AdaBoosted Decision Trees — s...

    as depicted by Figure 1 in Zhu et al [ 1 ] . The core principle...trees" : range ( 1 , n_estimators + 1 ), "AdaBoost"...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html
    Fri Nov 21 04:27:30 GMT 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 Nov 21 04:27:30 GMT 2025
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  3. Gaussian Mixture Model Sine Curve — sciki...

    1 , 1 + index ) for i , ( mean , covar...random . normal ( 0 , 0.1 ) X [ i , 1 ] = 3.0 * ( np . sin ( x...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html
    Fri Nov 21 04:27:31 GMT 2025
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  4. SVM: Maximum margin separating hyperplane &#821...

    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 Nov 21 04:27:30 GMT 2025
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  5. Prediction Intervals for Gradient Boosting Regr...

    common_params ) all_models [ "q %1.2f " % alpha ] = gbr . fit...0.95 ]: metrics [ "pbl= %1.2f " % alpha ] = mean_pinball_loss...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html
    Fri Nov 21 04:27:30 GMT 2025
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  6. Imputing missing values with variants of Iterat...

    1e-1 , 1e-1 , 1e-2 ) for ( name , impute_estimator..."IterativeImputer" ], axis = 1 , ) # plot california housing...
    scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.html
    Fri Nov 21 04:27:30 GMT 2025
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  7. Post-tuning the decision threshold for cost-sen...

    array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Fri Nov 21 04:27:31 GMT 2025
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  8. t-SNE: The effect of various perplexity values ...

    reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 ), ] ) color...perplexities ): ax = subplots [ 1 ][ i + 1 ] t0 = time () tsne = manifold...
    scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html
    Fri Nov 21 04:27:30 GMT 2025
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  9. Plot the decision surfaces of ensembles of tree...

    () - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...min () - 1 , X [:, 1 ] . max () + 1 xx , yy = np . meshgrid (...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html
    Fri Nov 21 04:27:30 GMT 2025
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  10. Post pruning decision trees with cost complexit...

    plot ( ccp_alphas [: - 1 ], impurities [: - 1 ], marker = "o"...clfs [ - 1 ] . tree_ . node_count , ccp_alphas [ - 1 ] ) ) Number...
    scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html
    Fri Nov 21 04:27:30 GMT 2025
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