Ahmad, Mahmood and Alsulami, Badr T. and Hakamy, Ahmad and Majdi, Ali and Alqurashi, Muwaffaq and Sabri Sabri, Mohanad Muayad and Al-Mansob, Ramez A. and Ibrahim, Mohd Rasdan (2023) The performance comparison of the decision tree models on the prediction of seismic gravelly soil liquefaction potential based on dynamic penetration test. Frontiers in Earth Science, 11. ISSN 2296-6463, DOI https://doi.org/10.3389/feart.2023.1105610.
Full text not available from this repository.Abstract
Seismic liquefaction has been reported in sandy soils as well as gravelly soils. Despite sandy soils, a comprehensive case history record is still lacking for developing empirical, semi-empirical, and soft computing models to predict this phenomenon in gravelly soils. This work compiles documentation from 234 case histories of gravelly soil liquefaction from across the world to generate a database, which will then be used to develop seismic gravelly soil liquefaction potential models. The performance measures, namely, accuracy, precision, recall, F-score, and area under the receiver operating characteristic curve, were used to evaluate the training and testing tree-based models' performance and highlight the capability of the logistic model tree over reduced error pruning tree, random tree and random forest models. The findings of this research can provide theoretical support for researchers in selecting appropriate tree-based models and improving the predictive performance of seismic gravelly soil liquefaction potential.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Science and Higher Education of the Russian Federation (075-15-2021-1333) |
| Uncontrolled Keywords: | gravelly soil; liquefaction; reduced error pruning tree; random forest; dynamic penetration test; logistic model tree; random tree |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering > Department of Civil Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 18 Aug 2025 03:01 |
| Last Modified: | 18 Aug 2025 03:01 |
| URI: | http://eprints.um.edu.my/id/eprint/50712 |
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