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An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost
Research article (Neural Computing and Applications, 2022) · cited 186× · AI/ML
An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost
Summary
An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost is a scholarly article[1].
Key Facts
An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-investigation-of-feature-selection-methods-for-soil-liquefaction-prediction-based-on-tree-based-ensemble-algorithms-u
MLA“An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-investigation-of-feature-selection-methods-for-soil-liquefaction-prediction-based-on-tree-based-ensemble-algorithms-u.
BibTeX@misc{4ortxyz_an-investigation-of-feature-selection-methods-for-soil-liquefaction-prediction-based-on-tree-based-ensemble-algorithms-u_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost}}, year = {2026}, url = {https://4ort.xyz/entity/an-investigation-of-feature-selection-methods-for-soil-liquefaction-prediction-based-on-tree-based-ensemble-algorithms-u}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost — https://4ort.xyz/entity/an-investigation-of-feature-selection-methods-for-soil-liquefaction-prediction-based-on-tree-based-ensemble-algorithms-u (retrieved 2026-05-24)
