日本信用筛选数据集免费

jsaiyyp 13 2021-08-31 机器学习

资源介绍

Creator:

Chiharu Sano

Donor:

Chiharu Sano
csano '@' bonnie.ICS.UCI.EDU

Data Set Information:

Examples represent positive and negative instances of people who were and were not granted credit.

The theory was generated by talking to the individuals at a Japanese company that grants credit.

Attribute Information:

N/A

Relevant Papers:

N/A

Papers That Cite This Data Set1:

Chris Drummond and Robert C. Holte. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling. Institute for Information Technology, National Research Council Canada. [View Context].

 

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