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“MAE and MAPE are commonly used measures in ML [9] and provide a more natural and intuitive measure of model performance [12,13].”
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Metadata
- 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.
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