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R-kvadrat (R²)×Medelabsolutfelet (MAE)×
ÄmnesområdeModellutvärderingModellutvärdering
FamiljMCDMMCDM
Ursprungsår18961799
UpphovspersonKarl PearsonPierre-Simon Laplace
TypGoodness-of-fit metricRobust distance-based metric
UrsprungskällaPearson, K. (1896). Mathematical contributions to the theory of evolution. Philosophical Transactions of the Royal Society A, 187, 253-318. link ↗Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat. link ↗
AliasR², coefficient of determination, r2 scoreMAE, L1 error, mean absolute deviation
Närliggande53
SammanfattningThe coefficient of determination, denoted R², measures the proportion of variance in the dependent variable explained by the independent variables in a regression model. Introduced by Karl Pearson in the late 19th century, R² is one of the most widely used metrics for assessing how well a model fits observed data.Mean Absolute Error is a robust metric that measures the average absolute magnitude of prediction errors in regression models. Dating back to Pierre-Simon Laplace's work on observational errors (1799), MAE quantifies typical prediction deviation by averaging the absolute differences between observed and predicted values.
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ScholarGateJämför metoder: R-squared · Mean Absolute Error. Hämtad 2026-06-17 från https://scholargate.app/sv/compare