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biology-basel(1)

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catch per unit effort (cpue)(1)
comparative analysis(1)
ensemble learning(1)
environmental drivers(1)
explainable machine learning(1)
feature importance analysis(1)
light gradient boosting machine (lightgbm)(1)
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shapley additive explanations (shap)(1)
yellowfin tuna(1)

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Yang, Ling AND Zhou, Weifeng AND Zhang, Cong AND Tang, Fenghua(0)

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chinese acad agr sci, grad sch, beijing 100081, peoples r china(1)
chinese acad fishery sci, east china sea fisheries res inst, shanghai 200090, peoples r china(1)
zhejiang ocean univ, coll informat engn, zhoushan 316022, peoples r china(1)

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2025(1)

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资源类型: 外文期刊

作者:Yang, Ling(精确检索)

作者:Zhou, Weifeng(精确检索)

作者:Zhang, Cong(精确检索)

作者:Tang, Fenghua(精确检索)

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1A Comparative Machine Learning Study Identifies Light Gradient Boosting Machine (LightGBM) as the Optimal Model for Unveiling the Environmental Drivers of Yellowfin Tuna (Thunnus albacares) Distribution Using SHapley Additive exPlanations (SHAP) Analysis

作者： Yang, Ling; Zhou, Weifeng; Zhang, Cong; Tang, Fenghua; SCIE（2025版）

机构： Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Shanghai 200090, Peoples R China; Zhejiang Ocean Univ, Coll Informat Engn, Zhoushan 316022, Peoples R China; Chinese Acad Agr Sci, Grad Sch, Beijing 100081, Peoples R China;

来源：BIOLOGY-BASEL

关键词： yellowfin tuna catch per unit effort (CPUE) environmental drivers machine learning feature importance analysis SHapley Additive exPlanations (SHAP) explainable machine learning comparative analysis Light Gradient Boosting Machine (LightGBM) ensemble learning