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Representative sample size for estimating saturated hydraulic conductivity via machine learning

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Type:	Resource
Storage:	The size of this resource is 5.9 MB
Created:	Sep 08, 2023 at 12:11 p.m.
Last updated:	Sep 08, 2023 at 12:18 p.m.
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Sharing Status:	Public
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Abstract

This database including saturated hydraulic conductivity data from the USKSAT database as well as the associated Python codes used to analyze learning curves and train and test the developed machine learning models.

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README.md

EoDHoML

Effect of data heterogeneity on machine learning: A proof-of-concept study of representative sample size

For information regarding the code please contact Amin Ahmadisharaf.

How to Cite

Ahmadisharaf, A., R. Nematirad, S. Sabouri, Y. Pachepsky, B. Ghanbarian (2023). Representative sample size for estimating saturated hydraulic conductivity via machine learning, HydroShare, http://www.hydroshare.org/resource/4c33179a77834634969bb9787c41e71a

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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