The performance comparison of the decision tree models on the prediction of seismic gravelly soil liquefaction potential based on dynamic penetration test
- 1Department of Civil Engineering, Faculty of Engineering, International Islamic University Malaysia, Jalan Gombak, Malaysia
- 2Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu, Pakistan
- 3Department of Civil Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi Arabia
- 4Department of Building and Construction Techniques Engineering, Al-Mustaqbal University College, Al-Hilla, Iraq
- 5Department of Civil Engineering, College of Engineering, Taif University, Taif, Saudi Arabia
- 6Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
- 7Department of Civil Engineering, Center for Transportation Research, Engineering Faculty, Universiti Malaya, Kuala Lumpur, Malaysia
by Ahmad M, Alsulami BT, Hakamy A, Majdi A, Alqurashi M, Sabri Sabri MM, Al-Mansob RA and Bin Ibrahim MR (2023). Front. Earth Sci. 11:1105610. doi: 10.3389/feart.2023.1105610
In the published article, the Funding statement was incorrect. The correct statement appears below.
“This research was supported by a grant from the Russian Science Foundation No. 22-79-10021, https://rscf.ru/project/22-79-10021/.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: gravelly soil, liquefaction, reduced error pruning tree, random forest, dynamic penetration test, logistic model tree, random tree
Citation: Ahmad M, Alsulami BT, Hakamy A, Majdi A, Alqurashi M, Sabri Sabri MM, Al-Mansob RA and Bin Ibrahim MR (2024) Corrigendum: The performance comparison of the decision tree models on the prediction of seismic gravelly soil liquefaction potential based on dynamic penetration test. Front. Earth Sci. 12:1407592. doi: 10.3389/feart.2024.1407592
Received: 26 March 2024; Accepted: 27 March 2024;
Published: 18 April 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Ahmad, Alsulami, Hakamy, Majdi, Alqurashi, Sabri Sabri, Al-Mansob and Bin Ibrahim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mahmood Ahmad, ahmadm@uetpeshawar.edu.pk