Applying machine learning methods to predict geology using soil sample geochemistry

Applying machine learning methods to predict geology using soil sample geochemistry

In this study we compared various machine learning techniques that used soil geochemistry to aid in geologic mapping. We tested six different sampling methods (undersample, oversample, Synthetic Minority Oversampling Technique (SMOTE), Adaptive Synthetic Sampling (ADASYN), SMOTE and Edited Nearest N...

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Bibliographic Details
Main Authors: Timothy C.C. Lui, Daniel D. Gregory, Marek Anderson, Well-Shen Lee, Sharon A. Cowling
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Applied Computing and Geosciences
Subjects:
Geological mapping
Soil geochemistry
Data science
Machine learning
Sampling method
Multiple classifier system
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197422000167

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http://www.sciencedirect.com/science/article/pii/S2590197422000167

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