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- Mean_squared_error abstract "In statistics, the mean squared error (MSE) of an estimator measures the average of the squares of the "errors", that is, the difference between the estimator and what is estimated. MSE is a risk function, corresponding to the expected value of the squared error loss or quadratic loss. The difference occurs because of randomness or because the estimator doesn't account for information that could produce a more accurate estimate.The MSE is the second moment (about the origin) of the error, and thus incorporates both the variance of the estimator and its bias. For an unbiased estimator, the MSE is the variance of the estimator. Like the variance, MSE has the same units of measurement as the square of the quantity being estimated. In an analogy to standard deviation, taking the square root of MSE yields the root-mean-square error or root-mean-square deviation (RMSE or RMSD), which has the same units as the quantity being estimated; for an unbiased estimator, the RMSE is the square root of the variance, known as the standard deviation.".
- Mean_squared_error wikiPageID "201816".
- Mean_squared_error wikiPageRevisionID "606373818".
- Mean_squared_error hasPhotoCollection Mean_squared_error.
- Mean_squared_error subject Category:Estimation_theory.
- Mean_squared_error subject Category:Least_squares.
- Mean_squared_error subject Category:Loss_functions.
- Mean_squared_error subject Category:Point_estimation_performance.
- Mean_squared_error subject Category:Statistical_deviation_and_dispersion.
- Mean_squared_error type GeographicalArea108574314.
- Mean_squared_error type LeastSquares.
- Mean_squared_error type Location100027167.
- Mean_squared_error type Object100002684.
- Mean_squared_error type PhysicalEntity100001930.
- Mean_squared_error type PublicSquare108619620.
- Mean_squared_error type Region108630985.
- Mean_squared_error type Tract108673395.
- Mean_squared_error type YagoGeoEntity.
- Mean_squared_error type YagoLegalActorGeo.
- Mean_squared_error type YagoPermanentlyLocatedEntity.
- Mean_squared_error comment "In statistics, the mean squared error (MSE) of an estimator measures the average of the squares of the "errors", that is, the difference between the estimator and what is estimated. MSE is a risk function, corresponding to the expected value of the squared error loss or quadratic loss.".
- Mean_squared_error label "Błąd średniokwadratowy".
- Mean_squared_error label "Erreur quadratique moyenne".
- Mean_squared_error label "Error cuadrático medio".
- Mean_squared_error label "Errore quadratico medio".
- Mean_squared_error label "Mean squared error".
- Mean_squared_error label "Mittlere quadratische Abweichung".
- Mean_squared_error label "خطأ تربيعي متوسط".
- Mean_squared_error label "均方差".
- Mean_squared_error sameAs Mittlere_quadratische_Abweichung.
- Mean_squared_error sameAs Error_cuadrático_medio.
- Mean_squared_error sameAs Batez_besteko_errore_koadratiko.
- Mean_squared_error sameAs Erreur_quadratique_moyenne.
- Mean_squared_error sameAs Errore_quadratico_medio.
- Mean_squared_error sameAs Błąd_średniokwadratowy.
- Mean_squared_error sameAs m.01cp44.
- Mean_squared_error sameAs Q1940696.
- Mean_squared_error sameAs Q1940696.
- Mean_squared_error sameAs Mean_squared_error.
- Mean_squared_error wasDerivedFrom Mean_squared_error?oldid=606373818.
- Mean_squared_error isPrimaryTopicOf Mean_squared_error.