A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring

In the current study, four datasets from the UCI machine learning repository are adopted, i.e., the Australian, Japanese, German, and Polish credit dataset. These datasets are extremely popular and widely studied by data mining analysts.

本研究采用了来自UCI机器学习库（UCI Machine Learning Repository）的四个数据集，即澳大利亚信用数据集、日本信用数据集、德国信用数据集与波兰信用数据集。此类数据集广受欢迎，被数据挖掘领域的分析师广泛研究。