A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://figshare.com/articles/dataset/A_new_hybrid_ensemble_model_with_voting-based_outlier_detection_and_balanced_sampling_for_credit_scoring/13292660
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资源简介：
The raw data are divided into five parts:
the Australian credit dataset (Australian.csv), the German credit dataset
(GermanData.csv), the Japanese credit dataset (JapanData.csv), the Taiwan credit
dataset (TaiwanData.csv), and the Creator credit dataset (Creator.csv).
创建时间：
2020-11-26
