Classifying severely imbalanced data

Abstract. Learning from data with severe class imbalance is difficult. Established solutions include: under-sampling, adjusting classification threshold, and using an ensemble. We examine the performance of com-bining these solutions to balance the sensitivity and specificity for binary classifications, and to reduce the MSE score for probability estimation