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Linganisha mbinu

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Hitilafu ya Mizizi ya Mraba (RMSE)×Kosa Kamili la Wastani (MAE)×
NyanjaTathmini ya ModeliTathmini ya Modeli
FamiliaMCDMMCDM
Mwaka wa asili18091799
MwanzilishiCarl Friedrich GaussPierre-Simon Laplace
AinaDistance-based evaluation metricRobust distance-based metric
Chanzo asiliaGauss, C. F. (1809). Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientium. Hamburg: Perthes and Besser. link ↗Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat. link ↗
Majina mbadalaRMSE, RMS error, quadratic mean errorMAE, L1 error, mean absolute deviation
Zinazohusiana43
MuhtasariRoot 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.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.
ScholarGateSeti ya data
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

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