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Cross-Validation Strategy Impacts the Performance and Interpretation of Machine Learning Models

dc.contributor.authorSweet, Lily-belle
dc.contributor.authorMüller, Christoph
dc.contributor.authorAnand, Mohit
dc.contributor.authorZscheischler, Jakob
dc.date.accessioned2024-12-24T15:10:38Z
dc.date.available2024-12-24T15:10:38Z
dc.date.copyright01 Oct. 2023
dc.date.issued2023
dc.identifier.otheraies-AIES-D-23-0026.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301937
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleCross-Validation Strategy Impacts the Performance and Interpretation of Machine Learning Models
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue4
dc.journal.titleArtificial Intelligence for the Earth Systems
dc.identifier.doi10.1175/AIES-D-23-0026.1
dc.journal.lastpagee230026
dc.treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
dc.contenttypeFulltext


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