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TitleDon’t Let Negatives Hold You Back: Accounting for Underlying Physics and Natural Distributions of Hydrothermal Systems When Selecting Negative Training Sites Leads to Better Machine Learning Predictions
AuthorCaraccioli, Pascal D.; Mordensky, Stanley P.; Lindsey, Cary R.; DeAngelo, Jacob; Burns, Erick R.; Lipor, John J.
AffiliationU.S. Geological Survey; Portland State University; U.S. Geological Survey; Great Basin Center for Geothermal Energy, Nevada Bureau of Mines and Geology, University of Nevada
PDFyes - members only!
Volume TitleUsing the Earth to Save the Earth
JournalGeothermal Resources Council Transactions
PublisherGeothermal Rising
Publication PlaceDavis, California
SubjectsExploration; Machine learning; Play fairway analysis
Keywordsmachine learning, geothermal, Nevada, class imbalance, positive-unlabeled classification, XGBoost, geothermal favorability, play fairway analysis
Geographic TermsNevada
Document TypeDigital Collection
ISSN/ISBNISSN: 0193-5933; ISBN: 934412-29-4
GRC ID#1034774