Title | Don’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 |
Author | Caraccioli, Pascal D.; Mordensky, Stanley P.; Lindsey, Cary R.; DeAngelo, Jacob; Burns, Erick R.; Lipor, John J. |
Affiliation | U.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 |
PDF | yes - members only! |
Volume Title | Using the Earth to Save the Earth |
Journal | Geothermal Resources Council Transactions |
Volume | 47 |
Pages | 1672-1693 |
Year | 2023 |
Publisher | Geothermal Rising |
Publication Place | Davis, California |
Subjects | Exploration; Machine learning; Play fairway analysis |
Keywords | machine learning, geothermal, Nevada, class imbalance, positive-unlabeled classification, XGBoost, geothermal favorability, play fairway analysis |
Geographic Terms | Nevada |
Document Type | Digital Collection |
Language | English |
ISSN/ISBN | ISSN: 0193-5933; ISBN: 934412-29-4 |
GRC ID# | 1034774 |
Permalink | https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034774 |