Mean squared prediction error
id:
mean-squared-prediction-error-283-3983015
title:
Mean squared prediction error
text:
In statistics the mean squared prediction error (MSPE), 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 (PE), the square difference between the fitted values implied by the predictive function g ^ and the values of the (unobservable) true value g. It is an inverse measure of the explanatory power of g ^ , and can be used in the process of cross-validation of an estimated model.
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original url:
https://en.wikipedia.org/wiki/Mean_squared_prediction_error
date created:
date modified:
2023-03-17T20:21:18Z
main entity:
{"identifier":"Q6803654","url":"https://www.wikidata.org/entity/Q6803654"}
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