Decomposition of the mean absolute error (MAE) into systematic and unsystematic components. [PDF]
PLoS ONE, 2023 When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
Scott M Robeson, Cort J Willmott
doaj +4 more sources
Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not [PDF]
Geoscientific Model Development, 2022 The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide ...
T. O. Hodson
doaj +5 more sources
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature [PDF]
Geoscientific Model Development, 2014 Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be
T. Chai, R. R. Draxler
doaj +7 more sources
Optimum design of chamfer masks using symmetric mean absolute percentage error [PDF]
EURASIP Journal on Image and Video Processing, 2019 Distance transform, a central operation in image and video analysis, involves finding the shortest path between feature and non-feature entries of a binary image.
Baraka Jacob Maiseli
doaj +4 more sources
Using the Mean Absolute Percentage Error for Regression Models [PDF]
Neurocomputing, 2015 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE ...
De Myttenaere, Arnaud +3 more
core +15 more sources
Lossless Image Compression Using Context-Dependent Linear Prediction Based on Mean Absolute Error Minimization [PDF]
EntropyThis paper presents a method for lossless compression of images with fast decoding time and the option to select encoder parameters for individual image characteristics to increase compression efficiency.
Grzegorz Ulacha, Mirosław Łazoryszczak
doaj +2 more sources
Estimation of a probability with guaranteed normalized mean absolute error [PDF]
IEEE Communications Letters, 2009 The estimation of a probability p from repeated Bernoulli trials is considered in this paper. A sequential approach is followed, using a simple stopping rule. A closed-form expression and an upper bound are obtained for the mean absolute error of the unbiased estimator of p.
Luis Mendo
exaly +4 more sources
A note on the Mean Absolute Scaled Error [PDF]
International Journal of Forecasting, 2016 Hyndman and Koehler (2006) recommend that the Mean Absolute Scaled Error (MASE) should become the standard when comparing forecast accuracies. This note supports their claim by showing that the MASE fits nicely within the standard statistical procedures initiated by Diebold and Mariano (1995) for testing equal forecast accuracies.
Philip Hans Franses
exaly +2 more sources
Forecasting Error Calculation with Mean Absolute Deviation and Mean Absolute Percentage Error
Journal of Physics: Conference Series, 2017 Prediction using a forecasting method is one of the most important things for an organization, the selection of appropriate forecasting methods is also important but the percentage error of a method is more important in order for decision makers to adopt the right culture, the use of the Mean Absolute Deviation and Mean Absolute Percentage Error to ...
Hasanul Fahmi, Robbi Rahim
exaly +2 more sources
The Symmetric Mean Absolute Percentage Error: Unnecessary or Dangerous
ForecastingThe symmetric Mean Absolute Percentage Error (sMAPE) is a forecast error metric that has been proposed as an alternative to the more common Mean Absolute Percentage Error (MAPE), which is undefined whenever an actual is zero; the sMAPE does not have this
Stephan Kolassa
doaj +2 more sources