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Simetrična MAPE (sMAPE)×Prosječna apsolutna skalirana greška (MASE)×
OblastEvaluacija modelaEvaluacija modela
PorodicaMCDMMCDM
Godina nastanka19852006
TvoracJ. Scott ArmstrongRob J. Hyndman and Anne B. Koehler
TipSymmetric percentage-based evaluation metricScale-independent baseline comparison metric
Temeljni izvorArmstrong, J. S. (1985). Long-range forecasting: from crystal ball to computer (2nd ed.). New York: John Wiley & Sons. ISBN: 978-0471082010Hyndman, R. J., & Koehler, A. B. (2006). Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), 679-688. DOI ↗
Drugi nazivisMAPE, SMAPE, symmetric MAPEMASE
Srodne44
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 Scaled Error is a scale-independent metric that measures prediction accuracy relative to a simple baseline (naive forecast). Introduced by Hyndman and Koehler (2006), MASE directly compares model performance to a reference method, overcoming limitations of MAPE and other percentage-based metrics.
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ScholarGateUporedite metode: Symmetric MAPE · Mean Absolute Scaled Error. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare