A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring
收藏DataCite Commons2020-12-02 更新2024-07-28 收录
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https://figshare.com/articles/dataset/A_new_hybrid_ensemble_model_with_voting-based_outlier_detection_and_balanced_sampling_for_credit_scoring/13317641
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资源简介：
The raw data for this paper and performance evaluation of the EE, LOF, OCSVM and the voting-based outlier detection method evaluation results have been provided. 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).
提供机构：
figshare
创建时间：
2020-12-02
