mean squared prediction error
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In statistics the mean squared prediction error, also known as mean squared error of the predictions, of a smoothing, curve fitting, or regression procedure is the expected value of the squared prediction errors, the square difference between the fitted values implied by the predictive function and the values of the (unobservable) true value g.
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