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Results 51 - 60 of 224 for v (0.15 sec)

  1. U.S. News: Latest Breaking Stories, Video, and ...

    desegregate schools The case of Mendez v. Westminster ended school segregation...Supreme Court's landmark Brown v. Board of Education ruling. U.S....
    www.nbcnews.com/us-news
    Thu May 23 00:49:42 UTC 2024
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  2. LassoLarsIC — 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.LassoLarsIC.html
    Wed May 22 15:20:08 UTC 2024
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  3. 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
    Wed May 22 15:20:05 UTC 2024
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  4. KNeighborsRegressor — 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.neighbors.KNeighborsRegressor.html
    Wed May 22 15:20:05 UTC 2024
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  5. RidgeCV — 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.RidgeCV.html
    Wed May 22 15:20:10 UTC 2024
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  6. IsotonicRegression — scikit-learn 1.5.0 documen...

    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.isotonic.IsotonicRegression.html
    Wed May 22 15:20:05 UTC 2024
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  7. PLSCanonical — 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.cross_decomposition.PLSCanonical.html
    Wed May 22 15:20:05 UTC 2024
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  8. 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
    Wed May 22 15:20:08 UTC 2024
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  9. OrthogonalMatchingPursuitCV — scikit-learn 1.5....

    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.OrthogonalMatchingPursuitCV.html
    Wed May 22 15:20:08 UTC 2024
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  10. DummyRegressor — scikit-learn 1.5.0 documentation

    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
    Wed May 22 15:20:08 UTC 2024
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