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  1. LinearRegression — scikit-learn 1.6.dev0 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/dev/modules/generated/sklearn.linear_model.LinearRegression.html
    Thu May 23 20:54:14 UTC 2024
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  2. ElasticNet — scikit-learn 1.5.0 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 May 24 12:15:01 UTC 2024
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  3. LassoCV — scikit-learn 1.5.0 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 May 24 12:15:00 UTC 2024
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  4. Speaker Mike Johnson defends joining Trump at h...

    Frank Thorp V / NBC News Print May 15, 2024,...motion to vacate. Frank Thorp V / NBC News He also rejected calls...
    www.nbcnews.com/politics/congress/speaker-mike-johnson-donald-trump-court-motion-to-oust-mtg-rcna...
    Thu May 16 00:43:35 UTC 2024
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  5. normalized_mutual_info_score — scikit-learn 1.5...

    See also v_measure_score V-Measure (NMI with arithmetic...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html
    Thu May 23 20:54:15 UTC 2024
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  6. ExtraTreesRegressor — scikit-learn 1.5.0 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 May 24 12:15:01 UTC 2024
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  7. HistGradientBoostingRegressor — scikit-learn 1....

    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.HistGradientBoostingRegressor.html
    Fri May 24 12:15:01 UTC 2024
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  8. VotingRegressor — scikit-learn 1.5.0 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.ensemble.VotingRegressor.html
    Fri May 24 12:15:01 UTC 2024
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  9. DecisionTreeRegressor — scikit-learn 1.5.0 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
    Fri May 24 12:15:01 UTC 2024
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  10. Ridge — scikit-learn 1.5.0 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.Ridge.html
    Fri May 24 12:15:01 UTC 2024
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