Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion

Research article (The Science of The Total Environment, 2019) · cited 223× · AI/ML
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Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion

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Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion is a scholarly article[1].

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  • Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-the-performance-of-gis-based-machine-learning-models-with-different-accuracy-measures-for-determining-suscepti
MLA “Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-the-performance-of-gis-based-machine-learning-models-with-different-accuracy-measures-for-determining-suscepti.
BibTeX @misc{4ortxyz_assessing-the-performance-of-gis-based-machine-learning-models-with-different-accuracy-measures-for-determining-suscepti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-the-performance-of-gis-based-machine-learning-models-with-different-accuracy-measures-for-determining-suscepti}, note = {Accessed: 2026-05-24}}
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