Solving Imbalanced Data in Credit Risk Prediction: A Comparison of Resampling Strategies for Different Machine Learning Classification Algorithms, Taking Threshold Tuning into Account

Chenyu Yang, Yanjie Dong, Jiachen Lu, Zherui Peng. Solving Imbalanced Data in Credit Risk Prediction: A Comparison of Resampling Strategies for Different Machine Learning Classification Algorithms, Taking Threshold Tuning into Account. In Proceedings of the 5th International Conference on Machine Learning and Machine Intelligence, MLMI 2022, Hangzhou, China, September 23-25, 2022. pages 30-40, ACM, 2022. [doi]

@inproceedings{YangDLP22,
  title = {Solving Imbalanced Data in Credit Risk Prediction: A Comparison of Resampling Strategies for Different Machine Learning Classification Algorithms, Taking Threshold Tuning into Account},
  author = {Chenyu Yang and Yanjie Dong and Jiachen Lu and Zherui Peng},
  year = {2022},
  doi = {10.1145/3568199.3568204},
  url = {https://doi.org/10.1145/3568199.3568204},
  researchr = {https://researchr.org/publication/YangDLP22},
  cites = {0},
  citedby = {0},
  pages = {30-40},
  booktitle = {Proceedings of the 5th International Conference on Machine Learning and Machine Intelligence, MLMI 2022, Hangzhou, China, September 23-25, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9755-1},
}