Record Details

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
Authors Caraccioli, Pascal D.; Mordensky, Stanley P.; Lindsey, Cary R.; DeAngelo, Jacob; Burns, Erick R.; Lipor, John J.
Year 2023
Conference Geothermal Resources Council Transactions
Keywords machine learning, geothermal, Nevada, class imbalance, positive-unlabeled classification, XGBoost, geothermal favorability, play fairway analysis
Abstract
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