A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring
收藏NIAID Data Ecosystem2026-03-11 收录
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https://figshare.com/articles/dataset/A_novel_multi-stage_ensemble_model_with_enhanced_outlier_adaptation_for_credit_scoring/12512360
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资源简介:
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., 2016) were adopted for the current study. The Polish credit datasets contain
five datasets distinguished five classification cases that depend on
the forecasting period (e.g., the Polish 1, the Polish 2, the Polish 3, the
Polish 4 and the Polish 5). AER credit dataset (Greene, 2003), which is a credit
card dataset for econometric analysis. Creator dataset, which is published in
2019 by a Chinese digital government services provider named Creator
Information Technology Co., Ltd[1].
The Creator dataset contains the property rights, financial statements, and
basic company information of 35960 Chinese companies.
[1] http://www.chinacreator.com/cn/
创建时间:
2020-06-19



