An Ensemble Resampling Based Transfer AdaBoost Algorithm for Small Sample Credit Classification with Class Imbalance

The proposed ensemble resampling based transfer AdaBoost (TrAdaBoost) algorithm for imbalanced small sample credit classification shows significant improvements in performance compared to traditional supervised machine learning methods and resampling methods based on the main evaluation criteria.