RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning
Cost-sensitive learning is a popular paradigm to address class-imbalance learning (CIL) problem.Traditional cost-sensitive learning approaches always solve CIL problem by assigning a constant higher training error penalty for all minority instances than that of majority instances, but ignore the significance of location information.Therefore, sever