Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing

DOI10.1007/s10994-021-05972-1OpenAlexW3159278315MaRDI QIDQ2102335

D. Sheeren, N. Karasiak, J.-F. Dejoux, C. Monteil

Publication date: 28 November 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-021-05972-1

zbMATH Keywords

cross-validationspatial autocorrelationremote sensingoverfittingaccuracy assessment

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (max. 100)

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Uses Software

• Scikit

Cites Work

• A test for spatial autocorrelation in seemingly unrelated regressions
• Random forests
• Unnamed Item

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