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Simetrična MAPE (sMAPE)×Srednja apsolutna pogreška (MAE)×
PodručjeEvaluacija modelaEvaluacija modela
ObiteljMCDMMCDM
Godina nastanka19851799
TvoracJ. Scott ArmstrongPierre-Simon Laplace
VrstaSymmetric percentage-based evaluation metricRobust distance-based metric
Temeljni izvorArmstrong, J. S. (1985). Long-range forecasting: from crystal ball to computer (2nd ed.). New York: John Wiley & Sons. ISBN: 978-0471082010Laplace, P. S. (1799). Traité de Mécanique Céleste. Paris: J.B.M. Duprat. link ↗
Drugi nazivisMAPE, SMAPE, symmetric MAPEMAE, L1 error, mean absolute deviation
Srodne43
SažetakSymmetric Mean Absolute Percentage Error is a refinement of MAPE that addresses its asymmetry by using the average of actual and predicted values as the denominator. Proposed by J. Scott Armstrong and refined by Makridakis (1993) and Hyndman & Koehler (2006), sMAPE treats over- and under-predictions symmetrically.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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ScholarGateUsporedite metode: Symmetric MAPE · Mean Absolute Error. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare