Random Forest

Evaluation of Global Data for National-Scale Soil Depth Mapping in Data-Scarce Regions: A Case Study from Sri Lanka
A stacked ensemble of Random Forest, XGBoost, Cubist, and SVM maps soil depth from global covariates, and shows where the data, not the algorithm, is the limit.
Ebrahim Jahanshiri, Eranga M. Wimalasiri, Yinan Yu, Ranjith B. Mapa
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Evaluation of Global Data for National-Scale Soil Depth Mapping in Data-Scarce Regions: A Case Study from Sri Lanka
En staplad ensemble av Random Forest, XGBoost, Cubist och SVM kartlägger jorddjup från globala kovariater och visar att begränsningen sitter i datan, inte i algoritmen.
Ebrahim Jahanshiri, Eranga M. Wimalasiri, Yinan Yu, Ranjith B. Mapa
Last updated on Nov 10, 2026
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