Symmetrisk MAPE (sMAPE)
Symmetrisk Mean Absolute Percentage Error er en forbedring af MAPE, der adresserer dens asymmetri ved at bruge gennemsnittet af faktiske og forudsagte værdier som nævner. Foreslået af J. Scott Armstrong og forfinet af Makridakis (1993) og Hyndman & Koehler (2006), behandler sMAPE over- og underestimering symmetrisk.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Armstrong, J. S. (1985). Long-range forecasting: from crystal ball to computer (2nd ed.). New York: John Wiley & Sons. ISBN: 978-0471082010
- Hyndman, R. J., & Koehler, A. B. (2006). Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), 679-688. DOI: 10.1016/j.ijforecast.2006.03.001 ↗
- Makridakis, S. (1993). Accuracy measures for a robust comparison of forecasting methods. International Journal of Forecasting, 9(4), 679-688. link ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Symmetric Mean Absolute Percentage Error. ScholarGate. https://scholargate.app/da/model-evaluation/symmetric-mape
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Middelfejl (MAE)Modelevaluering↔ compare
- Middelabsolut procentfejl (MAPE)Modelevaluering↔ compare
- Mean Absolute Scaled Error (MASE)Modelevaluering↔ compare
- Root Mean Squared Error (RMSE)Modelevaluering↔ compare
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