The Assessment of Machine Learning Model Performance for Predicting Alluvial Deposits Distribution

Ibrahim, AM and Bennett, B (2014) The Assessment of Machine Learning Model Performance for Predicting Alluvial Deposits Distribution. In: Procedia Computer Science. Complex Adaptive Systems, 03-05 Nov 2014, Philadelphia, PA, USA. Elsevier , pp. 637-642.

Abstract

Metadata

Authors/Creators:
  • Ibrahim, AM
  • Bennett, B
Copyright, Publisher and Additional Information: © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Keywords: machine learning; classification model; spatial auto correlation; younger granite; alluvial deposit
Dates:
  • Published: 2014
  • Published (online): 2 November 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Jul 2016 09:06
Last Modified: 05 Aug 2016 09:43
Published Version: http://dx.doi.org/10.1016/j.procs.2014.09.067
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.procs.2014.09.067
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