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Cited by 313

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Measures of Model Performance Based On the Log Accuracy Ratio

Open access
Morley, S. K., Brito, T. V., Welling, D. T.·2018·Space Weather

Abstract

Quantitative assessment of modeling and forecasting of continuous quantities uses a variety of approaches. We review existing literature describing metrics for forecast accuracy and bias, concentrating on those based on relative errors and percentage errors. Of these accuracy metrics, the mean absolute percentage error (MAPE) is one of the most common across many fields and has been widely applied in recent space science literature and we highlight the benefits and drawbacks of MAPE and proposed alternatives. We then introduce the log accuracy ratio and derive from it two metrics: the median symmetric accuracy and the symmetric signed percentage bias. Robust methods for estimating the spread of a multiplicative linear model using the log accuracy ratio are also presented. The developed metrics are shown to be easy to interpret, robust, and to mitigate the key drawbacks of their more widely used counterparts based on relative errors and percentage errors. Their use is illustrated with radiation belt electron flux modeling examples.

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Metadata

Authors
Morley, S. K., Brito, T. V., & Welling, D. T.
Venue
Space Weather
Published
2018-01
Volume
16
Issue
1
Pages
69-88
ISSN
1542-7390 (ISSN-L)
OpenAlex
W2781763657
Cited by
313
References
33
FWCI
17.59
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Measures of Model Performance Based On the Log Accuracy Ratio. https://app.cochat.ai/papers/10.1002/2017sw001669
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Morley, S. K., Brito, T. V., & Welling, D. T. (2018). Measures of Model Performance Based On the Log Accuracy Ratio. Space Weather. https://doi.org/10.1002/2017sw001669

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