方法证据记录
Mean Absolute Percentage Error
Mean Absolute Percentage Error measures prediction accuracy as a percentage relative to actual values, expressing errors in units that are scale-independent and interpretable across datasets. Formalized by J. Scott Armstrong in 1985, MAPE is widely used in forecasting, supply chain, and business analytics where results must be communicated as percentage accuracy.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Mean Absolute Percentage Error
分类方法记录 · 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
- Kim, S., & Kim, H. (2016). A new metric of absolute percentage error for intermittent demand forecasts. International Journal of Forecasting, 32(3), 669-679. · DOI 10.1016/j.ijforecast.2015.12.003
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