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Product LibraryTool NavigationMCP

ClimateImpactML

Public

Random Forest Algorithms to predict climate impact-drivers (CID), a.k.a., climate extreme indices for impact studies, in crop yields of soybean maize using Random Forest and XGBoost in a SHAP (SHapley Additive exPlanations) framework

crop-yield-predictionmachine-learningrandom-forestshapxgboost
Creat：2023-07-28T04:16:03
Update：2025-05-03T03:35:18
2
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0
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