相关数据集
Predictor variables for the Taiwan credit data.
Credit scorecards are essential tools for banks to assess the creditworthiness of loan applicants. While advanced machine learning models like XGBoost and random forest often outperform traditional lo
NIAID Data Ecosystem30
A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring
Nine datasets from the UC Irvine (UCI) machine learning repository, i.e., the Australian, Japanese, German (Asuncion & Newman, 2007), Taiwan (Yeh & Lien, 2009) and Polish credit datasets (Zięba et al.
Figshare2020-07-12 更新20
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, 20
Figshare2020-09-08 更新40
Lending club dataset description
Explanations of the columns in the lending club data set as supplied in: https://www.kaggle.com/datasets/wordsforthewise/lending-club
Figshare2022-06-07 更新20
