Pastor Pellicer, Joan; Zamora Martínez, Francisco Julián; España Boquera, Salvador; Castro-Bleda, Maria Jose(Springer Verlag (Germany), 2013)
Imbalance datasets impose serious problems in machine learning. For many tasks characterized by imbalanced data, the F-Measure seems more appropiate than the Mean Square Error or other error measures. This paper studies ...
de Zarzà, I.; de Curtò, J.; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-06)
[EN] Imbalanced datasets pose pervasive challenges in numerous machine learning (ML) applications, notably in areas such as fraud detection, where fraudulent cases are vastly outnumbered by legitimate transactions. ...