2023
DOI: 10.21203/rs.3.rs-2767016/v1
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Accurate and Generalizable Soil Liquefaction Prediction Model Based on the CatBoost Algorithm

Abstract: Accurate prediction of soil liquefaction is important for preventing geological disasters. Soil liquefaction prediction models based on machine learning algorithms are efficient and accurate; however, the generalizability of some models is weak and they fail to achieve highly precise soil liquefaction predictions in certain areas, which limits the applicability of these models. Thus, a soil liquefaction prediction model was constructed using the CatBoost (CB) algorithm to support categorical features. The mode… Show more

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