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  1. Understanding the decision tree structure — sci...

    node=1 is a leaf node with value=[[1. 0. 0.]]. node=2...min_samples_split 2 min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features...
    scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html
    Mon Nov 03 14:20:05 UTC 2025
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  2. StackingRegressor — scikit-learn 1.7.2 document...

    in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html
    Mon Nov 03 14:20:03 UTC 2025
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  3. A demo of the Spectral Biclustering algorithm —...

    consensus score: 1.0 The score is between 0 and 1, where 1 corresponds...and adds 1 to each to ensure that the labels start from 1 instead...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Tue Nov 04 06:34:51 UTC 2025
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  4. Early stopping in Gradient Boosting — scikit-le...

    axes [ 1 ] . set_xlabel ( "Boosting Iterations" ) axes [ 1 ] . set_ylabel...(Validation)" ) axes [ 1 ] . set_yscale ( "log" ) axes [ 1 ] . legend ()...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html
    Tue Nov 04 06:34:51 UTC 2025
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  5. Two-class AdaBoost — scikit-learn 1.7.2 documen...

    random_state = 1 ) X2 , y2 = make_gaussian_quantiles...es ( mean = ( 3 , 3 ), cov = 1.5 , n_samples = 300 , n_features...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Tue Nov 04 06:34:50 UTC 2025
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  6. IterativeImputer — scikit-learn 1.7.2 documenta...

    is met once max(abs(X_t - X_{t-1}))/max(abs(X[known_vals])) < tol...data types. Added in version 1.3. imputation_order {‘ascending’,...
    scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html
    Mon Nov 03 14:20:03 UTC 2025
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  7. SGD: Weighted samples — scikit-learn 1.7.2 docu...

    ) + [ 1 , 1 ], np . random . randn ( 10 , 2 )] y = [ 1 ] * 10...10 + [ - 1 ] * 10 sample_weight = 100 * np . abs ( np . random...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html
    Mon Nov 03 14:20:05 UTC 2025
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  8. StackingClassifier — scikit-learn 1.7.2 documen...

    in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html
    Mon Nov 03 14:20:03 UTC 2025
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  9. Parallel — scikit-learn 1.7.2 documentation

    Added in version 1.3. __call__ ( iterable ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html
    Mon Oct 20 15:12:26 UTC 2025
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  10. Version 0.22 — scikit-learn 1.7.2 documentation

    is given for both n_jobs=1 or n_jobs>1 both with shared memory...results between n_jobs=1 and n_jobs>1 due to the handling of...
    scikit-learn.org/stable/whats_new/v0.22.html
    Mon Nov 03 14:20:05 UTC 2025
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