Asymptotic Analysis of Under-Bagging and Comparison with Other Resampling Methods for Learning from Imbalanced Data

Under-bagging (UB) can improve the performance of classifiers in terms of F-measure even with large class imbalance, unlike under-sampling (US) and simple weighting (SW) methods.