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  1. Live updates: Trump administration to brief Sen...

    Tsirkin Dan De Luce Frank Thorp V producer and off-air reporter...Tsirkin , Dan De Luce , Frank Thorp V and Rebecca Shabad Reporting from...
    www.nbcnews.com/politics/trump-administration/live-blog/trump-administration-congress-iran-israel...
    Fri Jun 27 01:05:54 UTC 2025
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  2. ElasticNet — scikit-learn 1.7.0 documentation

    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
    Fri Jul 11 17:08:41 UTC 2025
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  3. LassoCV — scikit-learn 1.7.0 documentation

    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
    Fri Jul 11 17:08:41 UTC 2025
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  4. 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
    Fri Jul 11 17:08:41 UTC 2025
      8.6K bytes
      1 views
     
  5. Lasso — scikit-learn 1.7.0 documentation

    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.Lasso.html
    Fri Jul 11 17:08:39 UTC 2025
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  6. ElasticNetCV — scikit-learn 1.7.0 documentation

    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.ElasticNetCV.html
    Fri Jul 11 17:08:39 UTC 2025
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  7. 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
    Thu Jul 10 15:56:50 UTC 2025
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      4 views
     
  8. DecisionTreeRegressor — scikit-learn 1.7.0 docu...

    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.tree.DecisionTreeRegressor.html
    Tue Jul 08 15:58:48 UTC 2025
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  9. ExtraTreesRegressor — scikit-learn 1.7.0 docume...

    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.ensemble.ExtraTreesRegressor.html
    Fri Jul 11 17:08:41 UTC 2025
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  10. ARDRegression — scikit-learn 1.7.0 documentation

    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
    Fri Jul 11 17:08:38 UTC 2025
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