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1 Ergebnisse
1
Ensemble Methodology: Innovations in Credit Default Predict..:
, In:
2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)
,
Zhu, Mengran
;
Zhang, Ye
;
Gong, Yulu
... - p. 421-426 , 2024
Link:
https://doi.org/10.1109/ICETCI61221.2024.10594630
RT T1 <cTitle>2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)</cTitle>: T1 <Title>Ensemble Methodology: Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10594630&Exemplar=1&LAN=DE A1 Zhu, Mengran A1 Zhang, Ye A1 Gong, Yulu A1 Xing, Kaijuan A1 Yan, Xu A1 Song, Jintong YR 2024 K1 Technological innovation K1 Accuracy K1 Biological system modeling K1 Predictive models K1 Benchmark testing K1 Credit cards K1 Robustness K1 Credit Default Prediction K1 Ensemble Methods K1 XGBoost K1 LightGBM K1 LocalEnsemble SP 421 OP 426 LK http://dx.doi.org/https://doi.org/10.1109/ICETCI61221.2024.10594630 DO https://doi.org/10.1109/ICETCI61221.2024.10594630 SF ELIB - SuUB Bremen
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