Predictive lithologic mapping of South Korea from geochemical data using decision trees

Volume: 205, Pages: 106326 - 106326
Published: Oct 1, 2019
Abstract
Two machine learning algorithms, C4.5 and random forest, collectively known as decision trees were utilized to directly establish the relationship between geochemical maps of South Korea and its geology. Using a large database containing geochemical and lithologic properties, inconsistencies in the a priori lithologic information were fixed using confusion matrix analysis and F-measure comparison via iterative C4.5 implementation. This...
Paper Details
Title
Predictive lithologic mapping of South Korea from geochemical data using decision trees
Published Date
Oct 1, 2019
Volume
205
Pages
106326 - 106326
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