Credit Risk Prediction Based on Improved ADASYN Sampling and Optimized LightGBMOA
Credit Risk Prediction Based on Improved ADASYN Sampling and Optimized LightGBM
Mei Song;He Ma;Yi Zhu;Mengdi Zhang
School of Computer Science and Technology,Jiangsu Normal University,Xuzhou 221116,China||Management Science and Technology Center,Jiangsu Normal University,Xuzhou 221116,ChinaSchool of Computer Science and Technology,Jiangsu Normal University,Xuzhou 221116,ChinaSchool of Computer Science and Technology,Jiangsu Normal University,Xuzhou 221116,ChinaSchool of Computer Science and Technology,Jiangsu Normal University,Xuzhou 221116,China
imbalance datacredit risk predictionFocal Lossadaptivehybrid sampling
imbalance datacredit risk predictionFocal Lossadaptivehybrid sampling
《社会系统计算科学（英文）》 2024 (3)
232-241,10
This work was supported by the National Natural Science Foundation of China(Nos.71503108 and 62077029),CCF-Huawei Innovation Research Program Grant(No.CCF-HuaweiFM202209),and Research and Practice Innovation Project of Jiangsu Normal University(No.2022XKT1540).
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