ScholarGate
Msaidizi
MCDMRelative error metric

Kosa la Wastani la Asilimia Kamili (MAPE)

Kosa la Wastani la Asilimia Kamili hupima usahihi wa utabiri kama asilimia ikilinganishwa na maadili halisi, ikionyesha makosa katika vitengo ambavyo havitegemei kiwango na vinaeleweka katika seti tofauti za data. Imeundwa rasmi na J. Scott Armstrong mnamo 1985, MAPE hutumiwa sana katika utabiri, mnyororo wa usambazaji, na uchanganuzi wa biashara ambapo matokeo lazima yawasilishwe kama usahihi wa asilimia.

Fungua katika MethodMindHivi karibuniVideoHivi karibuniPakua slaidi

Soma mbinu kamili

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Ingia

Ramani ya mbinu

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Vyanzo

  1. Armstrong, J. S. (1985). Long-range forecasting: from crystal ball to computer (2nd ed.). New York: John Wiley & Sons. ISBN: 978-0471082010
  2. 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
  3. 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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Mean Absolute Percentage Error. ScholarGate. https://scholargate.app/sw/model-evaluation/mean-absolute-percentage-error

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Imerejelewa na

ScholarGateMean Absolute Percentage Error (Mean Absolute Percentage Error). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/model-evaluation/mean-absolute-percentage-error · Seti ya data: https://doi.org/10.5281/zenodo.20539026