Metodebevisregister

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.

Sources recorded, not reviewed

Kilderegister

Siteringer kopiert ordrett fra metodens kilderegister. Ingen påstandsnivåverifisering er underforstått fra dem.

Taksonomisk metoderegister · 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

Åpne full metode

Kuraterte påstander

Påstander lagret i bevishovedboken, hver med sin egen vurdering.

Ingen kuraterte påstander ennå

Denne visningen finner ikke opp en påstandsvurdering når hovedboken ikke har noen.

Relaterte metoder

Generert fra metodegrafen og vist som maskinforslåtte relasjoner – ingen bevispåstand er underforstått.

Same method familyMean Absolute Errormachine-suggested · Relational suggestion, not evidence.Same method familyMean Absolute Scaled Errormachine-suggested · Relational suggestion, not evidence.Same method familyRoot Mean Squared Errormachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSymmetric MAPEmachine-suggested · Relational suggestion, not evidence.