Trafalis, Theodore; Adrianto, Indra; Richman, Michael; … - In: Computational Management Science 11 (2014) 4, pp. 403-418
Learning from imbalanced data, where the number of observations in one class is significantly larger than the ones in the other class, has gained considerable attention in the machine learning community. Assuming the difficulty in predicting each class is similar, most standard classifiers will...