Zobrazeno 1 - 10
of 247 355
pro vyhledávání: '"Root mean square error (RMSE)"'
Autor:
Thombre, Amit
In this work the decision trees are used for explanation of support vector regression model. The decision trees act as a global technique as well as a local technique. They are compared against the popular technique of LIME which is a local explanato
Externí odkaz:
http://arxiv.org/abs/2404.07046
Autor:
Hodson, Timothy O.1 (AUTHOR) thodson@usgs.gov
Publikováno v:
Geoscientific Model Development. 2022, Vol. 15 Issue 14, p5481-5487. 7p.
Publikováno v:
In Energy Conversion and Management 15 April 2020 210
Autor:
T. O. Hodson
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 5481-5487 (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
Externí odkaz:
https://doaj.org/article/bc6508e8a630422e9731b3d704f6d940
Conference
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Autor:
Willmott, Cort J., Matsuura, Kenji
Publikováno v:
Climate Research, 2005 Dec . 30(1), 79-82.
Externí odkaz:
https://www.jstor.org/stable/24869236
Conference
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Autor:
Timothy Hodson
Publikováno v:
Geoscientific Model Development. 15:5481-5487
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e2003787473957b8f87497c2fe375a0
https://doi.org/10.5194/gmd-15-5481-2022
https://doi.org/10.5194/gmd-15-5481-2022
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100868- (2024)
Accurate assessment of state of charge (SoC) is crucial for the safety and efficiency of lithium-ion batteries used in electric vehicles (EVs). For precise SoC estimation in EV BMSs, an Augmented Adaptive Extended Kalman Filter (AAEKF) has been propo
Externí odkaz:
https://doaj.org/article/15dea7ae2c7a4b29b8e6c192e4b7e3b5
Autor:
T. Chai, R. R. Draxler
Publikováno v:
Geoscientific Model Development, Vol 7, Iss 3, Pp 1247-1250 (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 b
Externí odkaz:
https://doaj.org/article/6bf18970a5de4497ae44d7dd210fec3b