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Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling

Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester

2020Artificial Intelligence in Medicine80 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceGeneralizationMachine learningFocus (optics)Artificial intelligenceCode (set theory)Source codeData miningTerm (time)Predictive modellingContrast (vision)Training setData scienceRisk analysis (engineering)Key (lock)Preterm Birth and ChorioamnionitisNeonatal and fetal brain pathologyInfant Development and Preterm Care
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling | Litcius