Another look at measures of forecast accuracy
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MAE and MAPE are commonly used measures in machine learning and provide a more natural and intuitive measure of model performance.
“MAE and MAPE are commonly used measures in ML [9] and provide a more natural and intuitive measure of model performance [12,13].”
From Turnaround time prediction for clinical chemistry samples using machine learning (2022) · cites this paper as [12]
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- Authors
- Hyndman, R. J., & Koehler, A. B.
- Affiliations
- Monash University (AU)
- Miami University (US)
- Corresponding author
- Hyndman, Rob J.
- ORCID
- Hyndman, Rob J.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 22
- Issue
- 4
- Pages
- 679-688
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W2016210396
- Cited by
- 5,757
- References
- 34
- Citations by year
- 2026: 870 · 2025: 557 · 2024: 451 · 2023: 430 · 2022: 477 · 2021: 612 · 2020: 439 · 2019: 358 · 2018: 325 · 2017: 263 · 2016: 245 · 2015: 185 · 2014: 169 · 2013: 125 · 2012: 80
- FWCI
- 28.03
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- International Journal of Forecasting (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Monash University
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
- Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
- Keywords
- forecast accuracy measures, univariate time series forecasting, M3 competition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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