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A novel multi-stage ensemble model with fuzzy-clustering and optimized classifier composition for corporate bankruptcy prediction

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NIAID Data Ecosystem2026-03-12 收录
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https://figshare.com/articles/dataset/A_novel_multi-stage_ensemble_model_with_fuzzy-clustering_and_optimized_classifier_composition_for_corporate_bankruptcy_prediction/12911336
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In this experiment, the datasets are from the UC Irvine (UCI) UCI machine learning repository (Zięba et al., 2016), which contains the financial indicators of Polish manufacturing corporates from 2007 to 2011 in the real world. The datasets were separated into five parts (each part represents each fiscal year) that describe the period from the 1st year (2007 fiscal year) to the 5th year (2011 fiscal year), which corresponds to five different bankruptcy cycles. The class labels (“0” is operating and “1” is bankruptcy) of the datasets are determined by the bankruptcy status of the enterprise in 2012. Furthermore, the Creator dataset from the real world that was published by a Chinese intelligent government services provider called Creator Information Technology Co., Ltd in 2019 was also adopted. The Creator dataset includes company management information of 35960 Chinese companies.
创建时间:
2020-09-03
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