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  1. det_curve — scikit-learn 1.6.1 documentation

    y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. make_friedman1 — scikit-learn 1.6.1 documentation

    Annals of Statistics 19 (1), pages 1-67, 1991. [ 2 ] L. Breiman,...[source] # Generate the “Friedman #1” regression problem. This dataset...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html
    Sat Apr 19 00:31:21 UTC 2025
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  3. Gradient Boosting regression — scikit-learn 1.6...

    subplot ( 1 , 1 , 1 ) plt . title ( "Deviance"...12 , 6 )) plt . subplot ( 1 , 2 , 1 ) plt . barh ( pos , feature_importance...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. dcg_score — scikit-learn 1.6.1 documentation

    asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by default ties...to have a score between 0 and 1. References Wikipedia entry for...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. power_transform — scikit-learn 1.6.1 documentation

    [[-1.332... -0.707...] [ 0.256... -0.707...] [ 1.076... 1.414...]]...Available methods are: ‘yeo-johnson’ [1] , works with positive and negative...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. make_circles — scikit-learn 1.6.1 documentation

    int64(1), np.int64(1), np.int64(1), np.int64(0), np.int64(0)]...outer circle in the range [0, 1) . Returns : X ndarray of shape...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. Importance of Feature Scaling — scikit-learn 1....

    0 and 1,000; whereas the variable “hue” varies between 1 and 10....it has a standard deviation of 1 and a mean of 0. Even if tree...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html
    Sat Apr 19 00:31:21 UTC 2025
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  8. Faces dataset decompositions — scikit-learn 1.6...

    mean ( axis = 1 ) . reshape ( n_samples , - 1 ) print ( "Dataset...n_components = n_components , alpha = 0.1 , max_iter = 100 , batch_size...
    scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. Recursive feature elimination — scikit-learn 1....

    n_features_to_select = 1 , step = 1 )), ] ) pipe . fit ( X ,...(( len ( digits . images ), - 1 )) y = digits . target pipe =...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. fetch_kddcup99 — scikit-learn 1.6.1 documentation

    Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the kddcup99...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_kddcup99.html
    Sat Apr 19 00:31:21 UTC 2025
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