Introducing DeepBalance: Random deep belief network ensembles to address class imbalance
Introducing DeepBalance: Random deep belief network ensembles to address class imbalance
Class imbalance problems manifest in domains such as financial fraud detection or network intrusion analysis, where the prevalence of one class is much higher than another. Typically, practitioners are more interested in predicting the minority class than the majority class, as the minority class may carry a higher misclassification cost. …