A novel multi-stage ensemble model with K-means based undersampling: An application in credit scoring

Three datasets from the UC Irvine (UCI) machine learning repository, i.e., the Australian, Japanese, German (Asuncion & Newman, 2007) were adopted for the current study. AER credit dataset (Greene, 2003), which is a credit card dataset for econometric analysis.

本研究采用了来自加州大学欧文分校（UC Irvine）机器学习存储库的三类数据集，即澳大利亚、日本与德国数据集（Asuncion与Newman，2007）；同时采用了AER信用数据集（AER credit dataset），该数据集为用于计量经济学分析的信用卡数据集（Greene, 2003）。