Nested leave-two-out cross-validation for the optimal crop yield model selection

HIGHLIGHTS

• who: Thi Lan Anh Dinh and colleagues from the Sorbonne Université, Observatoire de Paris, Université PSL, CNRS, LERMA, Paris, France have published the Article: Nested leave-two-out cross-validation for the optimal crop yield model selection, in the Journal: (JOURNAL) of 15/Dec/2020
• what: The authors propose one particular implementation of the nested cross-validation called the nested leave-two-out cross-validation method or simply the leave two out (LTO) to choose the best model with an optimal model selection (using the validation dataset) and estimate the true model quality (using the . . .
  

   

  

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