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  1. sklearn.dummy.DummyRegressor — scikit-learn 1.4...

    coefficient R^2 is defined as (1 - u/v) , where u is the residual sum...((y_true - y_pred) ** 2).sum() and v is the total sum of squares ((y_true...
    scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html
    Mon May 13 16:58:54 UTC 2024
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  2. sklearn.linear_model.TheilSenRegressor — scikit...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html
    Mon May 13 16:58:54 UTC 2024
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  3. plot_kmeans_digits.ipynb

    score\ncompl completeness score\nv-meas V measure\nARI adjusted Rand index\nAMI...metrics.completeness_score,\n metrics.v_measure_score,\n metrics.adjusted_rand_score,\n...
    scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb
    Mon May 13 16:58:55 UTC 2024
      8.3K bytes
      1 views
     
  4. about.rst.txt

    V. and Thirion, B. and Grisel, O....P. and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos,...
    scikit-learn.org/stable/_sources/about.rst.txt
    Mon May 13 16:58:55 UTC 2024
      16.5K bytes
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  5. sklearn.linear_model.HuberRegressor — scikit-le...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html
    Mon May 13 16:58:55 UTC 2024
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  6. sklearn.linear_model.ElasticNet — scikit-learn ...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html
    Mon May 13 16:58:54 UTC 2024
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  7. sklearn.linear_model.LassoCV — scikit-learn 1.4...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html
    Mon May 13 16:58:55 UTC 2024
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  8. sklearn.linear_model.ARDRegression — scikit-lea...

    is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html
    Mon May 13 16:58:54 UTC 2024
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  9. sklearn.discriminant_analysis.QuadraticDiscrimi...

    It corresponds to V , the matrix of eigenvectors coming...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal...
    Mon May 13 16:58:54 UTC 2024
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  10. Politics: Latest news and headlines | NBC News ...

    boxes LATEST STORIES Rogelio V. Solis / AP file OUT Politics...
    www.nbcnews.com/politics
    Tue May 14 00:52:14 UTC 2024
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