השוואת שיטות

	שגיאת אחוז מוחלט סימטרית (sMAPE)	שגיאת שורש הריבוע הממוצע (RMSE)
תחום	הערכת מודלים	הערכת מודלים
משפחה	MCDM	MCDM
שנת המקור	1985	1809
הוגה השיטה	J. Scott Armstrong	Carl Friedrich Gauss
סוג	Symmetric percentage-based evaluation metric	Distance-based evaluation metric
מקור מכונן	Armstrong, J. S. (1985). Long-range forecasting: from crystal ball to computer (2nd ed.). New York: John Wiley & Sons. ISBN: 978-0471082010	Gauss, C. F. (1809). Theoria Motus Corporum Coelestium in Sectionibus Conicis Solem Ambientium. Hamburg: Perthes and Besser.
כינויים	sMAPE, SMAPE, symmetric MAPE	RMSE, RMS error, quadratic mean error
קשורות	4	4
תקציר	Symmetric 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.	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.