ScholarGate
Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Symmetric MAPE (sMAPE)×Kosa Kamili Lililopimwa kwa Wastani (MASE)×
NyanjaTathmini ya ModeliTathmini ya Modeli
FamiliaMCDMMCDM
Mwaka wa asili19852006
MwanzilishiJ. Scott ArmstrongRob J. Hyndman and Anne B. Koehler
AinaSymmetric percentage-based evaluation metricScale-independent baseline comparison metric
Chanzo asiliaArmstrong, 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 ↗
Majina mbadalasMAPE, SMAPE, symmetric MAPEMASE
Zinazohusiana44
MuhtasariSymmetric 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.
ScholarGateSeti ya data
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Symmetric MAPE · Mean Absolute Scaled Error. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare