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@wikipedia


A number characterising Statistical metric characterizing the model prediction quality ( goodness of fit ) between the datasets of a given variable variable

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 and its estimator 
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:

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MSE(x, \hat x) = \frac{1}{n} \sum_{i=1}^n (x_i - \hat x_i)^2

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There are many normalized measures of prediction quality which are more comfortable for computations, with 
Coefficient of determination (R2) being the most popular.


See also

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Formal science / Mathematics / Statistics / Statistical Metric

[ Root Mean Square Error (RMSE) ] [ Coefficient of determination (R2) ]

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