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  1. Ordinary Least Squares and Ridge Regression — s...

    Ordinary Least Squares: We illustrate how to use the ordinary least squares (OLS) model, LinearRegression, on a single feature of the diabetes dataset. We train on a subset of the data, evaluate on...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html
    Thu Jul 03 11:42:06 UTC 2025
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  2. 8. Dataset loading utilities — scikit-learn 1.7...

    The sklearn.datasets package embeds some small toy datasets and provides helpers to fetch larger datasets commonly used by the machine learning community to benchmark algorithms on data that comes ...
    scikit-learn.org/stable/datasets.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. Categorical Feature Support in Gradient Boostin...

    In this example, we will compare the training times and prediction performances of HistGradientBoostingRegressor with different encoding strategies for categorical features. In particular, we will ...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. Gaussian processes on discrete data structures ...

    This example illustrates the use of Gaussian processes for regression and classification tasks on data that are not in fixed-length feature vector form. This is achieved through the use of kernel f...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. cohen_kappa_score — scikit-learn 1.7.0 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version cohen_kappa_score # sklearn.metrics. cohen_kappa_scor...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html
    Thu Jul 03 11:42:06 UTC 2025
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  6. balanced_accuracy_score — scikit-learn 1.7.0 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version balanced_accuracy_score # sklearn.metrics. balanced_a...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. load_breast_cancer — scikit-learn 1.7.0 documen...

    Gallery examples: Model-based and sequential feature selection Permutation Importance with Multicollinear or Correlated Features Effect of varying threshold for self-training Post pruning decision ...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html
    Thu Jul 03 11:42:06 UTC 2025
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  8. zero_one_loss — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version zero_one_loss # sklearn.metrics. zero_one_loss ( y_tr...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. mean_tweedie_deviance — scikit-learn 1.7.0 docu...

    Gallery examples: Tweedie regression on insurance claims
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. estimator_html_repr — scikit-learn 1.7.0 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html
    Thu Jul 03 11:42:05 UTC 2025
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