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Results 21 - 30 of 37 for noob (2.34 sec)

  1. Release Highlights for scikit-learn 1.4 — sciki...

    0 bootstrap True oob_score False n_jobs None random_state...min_impurity_decrease 0.0 bootstrap True oob_score False n_jobs None random_state...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html
    Fri Sep 12 13:34:55 UTC 2025
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  2. Probability Calibration for 3-class classificat...

    0 bootstrap True oob_score False n_jobs None random_state...min_impurity_decrease 0.0 bootstrap True oob_score False n_jobs None random_state...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html
    Fri Sep 12 13:34:50 UTC 2025
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  3. 1.11. Ensembles: Gradient boosting, random fore...

    stored in the attribute oob_improvement_ . oob_improvement_[i] holds...in terms of the loss on the OOB samples if you add the i-th stage...
    scikit-learn.org/stable/modules/ensemble.html
    Fri Sep 12 13:34:55 UTC 2025
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  4. Plot individual and voting regression predictio...

    0 bootstrap True oob_score False n_jobs None random_state...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html
    Fri Sep 12 13:34:56 UTC 2025
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  5. Feature importances with a forest of trees — sc...

    0 bootstrap True oob_score False n_jobs None random_state...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html
    Fri Sep 12 13:34:56 UTC 2025
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  6. Displaying Pipelines — scikit-learn 1.7.2 docum...

    0 bootstrap True oob_score False n_jobs None random_state...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_pipeline_display.html
    Fri Sep 12 13:34:55 UTC 2025
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  7. Examples — scikit-learn 1.7.2 documentation

    Decision Trees OOB Errors for Random Forests OOB Errors for Random...
    scikit-learn.org/stable/auto_examples/index.html
    Fri Sep 12 13:34:54 UTC 2025
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  8. Version 1.3 — scikit-learn 1.7.2 documentation

    out-of-bag scores via the oob_scores_ or oob_score_ attributes. #24882...
    scikit-learn.org/stable/whats_new/v1.3.html
    Fri Sep 12 13:34:55 UTC 2025
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  9. Version 1.4 — scikit-learn 1.7.2 documentation

    ExtraTreesRegressor when requesting OOB score with multioutput model...
    scikit-learn.org/stable/whats_new/v1.4.html
    Fri Sep 12 13:34:50 UTC 2025
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  10. Version 0.17 — scikit-learn 1.7.2 documentation

    tClassifier while computing oob_score and X is a sparse.csc_matrix....
    scikit-learn.org/stable/whats_new/v0.17.html
    Fri Sep 12 13:34:53 UTC 2025
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