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
Tf Chai, Roland R Draxler
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Linear Atomic Cluster Expansion Force Fields for Organic Molecules: Beyond RMSE [PDF]
Journal of Chemical Theory and Computation, 2021 We demonstrate that fast and accurate linear force fields can be built for molecules using the Atomic Cluster Expansion (ACE) framework. The ACE models parametrize the Potential Energy Surface in terms of body ordered symmetric polynomials making the functional form reminiscent of traditional molecular mechanics force fields.
Dávid Péter Kovács +2 more
exaly +5 more sources
Problems in RMSE-based wave model validations
Ocean Modelling, 2013 Abstract In order to evaluate the reliability of numerical simulations in geophysical applications it is necessary to pay attention when using the root mean square error (RMSE) and two other indicators derived from it (the normalized root mean square error (NRMSE), and the scatter index (SI)).
Lorenzo Mentaschi +6 more
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RMSE is not enough: Guidelines to robust data-model comparisons for magnetospheric physics
Journal of Atmospheric and Solar-Terrestrial Physics, 2021 The magnetospheric physics research community uses a broad array of quantitative data-model comparison methods (metrics) when conducting their research investigations. It is often the case, though, that any particular study will only use one or two metrics, with the two most common being Pearson correlation coefficient and root mean square error (RMSE).
M W Liemohn, A R Azari, Brian M Swiger
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RMSE Reduction for GMM Estimators of Linear Time Series Models [PDF]
, 2000 In this paper we analyze GMM estimators for time series models as advocated by Hayashi and Sims, and Hansen and Singleton. It is well known that these estimators achieve efficiency bounds if the number of lagged observations in the instrument set goes to
Guido Kuersteiner
core +1 more source
Methodology for stiffness prediction in structural timber using cross-validation RMSE analysis
Journal of Building EngineeringPeer ...
Álvaro Fernández-Serrano +2 more
exaly +3 more sources
Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement [PDF]
Advances in Engineering and Intelligence Systems, 2023 Immunizing projects such as piled bridges entails considerations that ensure safety over the operation period. Pile Settlement (PS) which seems one of the most critical matters in constructional project failure, has attracted experts’ attention to be ...
Ehsanolah Assareh, Reza Poultangari
doaj +1 more source
Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms [PDF]
Advances in Engineering and Intelligence Systems, 2023 To ensure the safety of constructions such as bridge-owned structures, they must be immunized for the operational period. Considering the Pile settlement (PS) factor has to be an important project issue, much attention is paid to prevent damage before ...
Argyros Maris
doaj +1 more source
Maximum Likelihood Direction of Arrival Estimation using Chicken Swarm Optimization Algorithm [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 Aspects towards the area of array signal processing are majorly confined to two techniques, Direction of arrival (DOA) estimation and adaptive beamforming (ABF).
Abhinav Sharma +4 more
doaj +1 more source
Evaluation of Stereo Images Matching [PDF]
E3S Web of Conferences, 2021 Image matching and finding correspondence between a stereo image pair is an essential task in digital photogrammetry and computer vision. Stereo images represent the same scene from two different perspectives, and therefore they typically contain a high ...
Hadi Ali Hasan, Khalaf Abbas Zedan
doaj +1 more source