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  2. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  3. Evaluation of binary classifiers - Wikipedia

    en.wikipedia.org/wiki/Evaluation_of_binary...

    An F-score is a combination of the precision and the recall, providing a single score. There is a one-parameter family of statistics, with parameter β, which determines the relative weights of precision and recall. The traditional or balanced F-score is the harmonic mean of precision and recall:

  4. Nash–Sutcliffe model efficiency coefficient - Wikipedia

    en.wikipedia.org/wiki/Nash–Sutcliffe_model...

    This indicator can be used to describe the predictive accuracy of other models as long as there is observed data to compare the model results to. For example, Nash–Sutcliffe efficiency has been reported in scientific literature for model simulations of discharge; water quality constituents such as sediment, nitrogen, and phosphorus loading. [5]

  5. Receiver operating characteristic - Wikipedia

    en.wikipedia.org/wiki/Receiver_operating...

    A classification model (classifier or diagnosis [7]) is a mapping of instances between certain classes/groups.Because the classifier or diagnosis result can be an arbitrary real value (continuous output), the classifier boundary between classes must be determined by a threshold value (for instance, to determine whether a person has hypertension based on a blood pressure measure).

  6. Deming regression - Wikipedia

    en.wikipedia.org/wiki/Deming_regression

    Assume that the available data (y i, x i) are measured observations of the "true" values (y i *, x i *), which lie on the regression line: = +, = +, where errors ε and η are independent and the ratio of their variances is assumed to be known:

  7. Victims' lawyer questions timing of dementia diagnosis of ex ...

    www.aol.com/victims-lawyer-questions-timing...

    Jeffries’ conditions are “irreversible and will continue to worsen over time,” Bieber wrote. “Continued physical and cognitive decline is expected until Mr. Jeffries eventually succumbs to ...

  8. Pseudo-R-squared - Wikipedia

    en.wikipedia.org/wiki/Pseudo-R-squared

    R 2 L is given by Cohen: [1] =. This is the most analogous index to the squared multiple correlations in linear regression. [3] It represents the proportional reduction in the deviance wherein the deviance is treated as a measure of variation analogous but not identical to the variance in linear regression analysis. [3]

  9. How to make friends with the plank exercise for core strength

    www.aol.com/news/friends-plank-exercise-core...

    Editor’s note: Before beginning any new exercise program, consult your doctor. Stop immediately if you experience pain. Planks are widely considered by fitness experts to be a fantastic exercise ...