Method evidence record
Symmetric MAPE
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Symmetric Mean Absolute Percentage Error
Taxonomic method record · mcdm / model-evaluation
- 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. · URL
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