A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring
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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).
创建时间：
2020-12-02
