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

Research article (Geoscientific model development, 2022) · cited 28× · AI/ML
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Nested leave-two-out cross-validation for the optimal crop yield model selection

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Nested leave-two-out cross-validation for the optimal crop yield model selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nested leave-two-out cross-validation for the optimal crop yield model selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/nested-leave-two-out-cross-validation-for-the-optimal-crop-yield-model-selection
MLA “Nested leave-two-out cross-validation for the optimal crop yield model selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nested-leave-two-out-cross-validation-for-the-optimal-crop-yield-model-selection.
BibTeX @misc{4ortxyz_nested-leave-two-out-cross-validation-for-the-optimal-crop-yield-model-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nested leave-two-out cross-validation for the optimal crop yield model selection}}, year = {2026}, url = {https://4ort.xyz/entity/nested-leave-two-out-cross-validation-for-the-optimal-crop-yield-model-selection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Nested leave-two-out cross-validation for the optimal crop yield model selection — https://4ort.xyz/entity/nested-leave-two-out-cross-validation-for-the-optimal-crop-yield-model-selection (retrieved 2026-05-24)

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