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  1. 3.1. Cross-validation: evaluating estimator per...

    ) >>> scores array([0.96, 1. , 0.96, 0.96, 1. ]) The mean score...scores array([0.96, 1., 0.96, 0.96, 1.]) See The scoring parameter:...
    scikit-learn.org/stable/modules/cross_validation.html
    Fri Sep 26 00:57:37 UTC 2025
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  2. Classification scikit-learn 1.7.2 documentation

    top Ctrl + K GitHub Choose version Classification # General examples...covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant...
    scikit-learn.org/stable/auto_examples/classification/index.html
    Fri Sep 26 00:57:37 UTC 2025
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  3. Frozen Estimators scikit-learn 1.7.2 document...

    top Ctrl + K GitHub Choose version Frozen Estimators # Examples...concerning the sklearn.frozen module. Examples of Using FrozenEstimator...
    scikit-learn.org/stable/auto_examples/frozen/index.html
    Fri Sep 26 00:57:37 UTC 2025
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  4. Nearest Neighbors scikit-learn 1.7.2 document...

    Factor (LOF) Novelty detection with Local Outlier Factor (LOF) Outlier...Factor (LOF) Outlier detection with Local Outlier Factor (LOF) Simple...
    scikit-learn.org/stable/auto_examples/neighbors/index.html
    Fri Sep 26 00:57:37 UTC 2025
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  5. Missing Value Imputation scikit-learn 1.7.2 d...

    Ctrl + K GitHub Choose version Missing Value Imputation # Examples...concerning the sklearn.impute module. Imputing missing values...
    scikit-learn.org/stable/auto_examples/impute/index.html
    Fri Sep 26 00:57:37 UTC 2025
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  6. sg_gallery.css

    --sg-download-a-hover-box-shadow-1: rgba(255, 255, 255, 0.1); --...--sg-download-a-hover-box-shadow-2: rgba(0, 0, 0, 0.25); } @me...
    scikit-learn.org/stable/_static/sg_gallery.css
    Fri Sep 26 00:57:37 UTC 2025
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  7. colors.css

    --sk-cyan-shades-7: #021b27; --sk-cyan-shades-8: #010b12; --sk-cyan-shades-9:...--sk-cyan-tint-9: #edf7fd; --sk-cyan-tint-8: #daeffa; --sk-cyan-tint-7:...
    scikit-learn.org/stable/_static/styles/colors.css
    Fri Sep 26 00:57:37 UTC 2025
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  8. 1.7. Gaussian Processes scikit-learn 1.7.2 do...

    one-versus-one. 1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...variance \(\text{Var}[f_*]\) described in Eqs. (3.21) and (3.24) of...
    scikit-learn.org/stable/modules/gaussian_process.html
    Fri Sep 26 00:57:37 UTC 2025
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  9. 3.5. Validation curves: plotting scores to eval...

    0.9 , 0.96, 0.9 ], [0.9, 0.83, 0.96, 0.96, 0.93], [1. , 0.93,...0.94, 0.91, 0.89, 0.92], [0.9 , 0.92, 0.93, 0.92, 0.93], [0.97, 1...
    scikit-learn.org/stable/modules/learning_curve.html
    Fri Sep 26 00:57:37 UTC 2025
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  10. StackingRegressor scikit-learn 1.7.2 document...

    RidgeCV ()), ... ( 'svr' , LinearSVR ( random_state = 42 )) ... ] >>>...X_test , y_test ) 0.3... fit ( X , y , ** fit_params ) [source] #...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html
    Fri Sep 26 00:57:37 UTC 2025
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