German Credit

doi:doi:10.57702/kizmvro7

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German Credit

Each node is a client in a German bank, while each edge between any two clients represents that they bear similar credit accounts. Here the gender of bank clients is considered as the sensitive attribute, and the task is to classify the credit risk of the clients as high or low.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Zhen Zhang (2024). Dataset: German Credit. https://doi.org/10.57702/kizmvro7

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2404.01356
Citation	https://doi.org/10.48550/arXiv.2404.18134 https://doi.org/10.48550/arXiv.2406.03012 https://doi.org/10.48550/arXiv.2311.02757
Author	Zhen Zhang
Homepage	https://doi.org/10.24432/C5NC77