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Linganisha mbinu

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R-squared (R²)×Hitilafu ya Mizizi ya Mraba (RMSE)×
NyanjaTathmini ya ModeliTathmini ya Modeli
FamiliaMCDMMCDM
Mwaka wa asili18961809
MwanzilishiKarl PearsonCarl Friedrich Gauss
AinaGoodness-of-fit metricDistance-based evaluation metric
Chanzo asiliaPearson, K. (1896). Mathematical contributions to the theory of evolution. Philosophical Transactions of the Royal Society A, 187, 253-318. link ↗Gauss, C. F. (1809). Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientium. Hamburg: Perthes and Besser. link ↗
Majina mbadalaR², coefficient of determination, r2 scoreRMSE, RMS error, quadratic mean error
Zinazohusiana54
MuhtasariThe 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.Root Mean Squared Error is a widely used metric that measures the average magnitude of prediction errors in regression models. Originating from Carl Friedrich Gauss's work on least-squares estimation (1809), RMSE quantifies how far predictions deviate from observed values by averaging the squared differences and taking the square root.
ScholarGateSeti ya data
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  1. v1
  2. 3 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: R-squared · Root Mean Squared Error. Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/compare