German Credit

In the german credit dataset each one of the 1,000 persons is classified as a good or bad creditor according to attributes like age, sex, checking_account, credit_amount, duration, purpose, etc.

Data and Resources
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  • German CreditCSV

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Personal Data Attributes

Description: Personal Data related Information

Field Value
ChildrenData N/A (Not appliable)
PersonalData No
Additional Info
Field Value
Accessibility Both
Accessibility Mode Download
Availability On-Line
Basic rights Download
Consent obtained also covers the envisaged transfer of the personal data outside the EU N/A (Not appliable)
Consent of the data subject N/A (Not appliable)
Creation Date 2019-01-23
Creator Guidotti, Riccardo,
DataProtectionDirective UCI Regulations
Field/Scope of use Any use
Group Social Impact of AI and explainable ML
Language eng, English
Manifestation Type Virtual
Personal data was manifestly made public by the data subject No
PersonalSensitiveData Select PersonalSensitiveData
Processing Degree Primary
SoBigData Node SoBigData EU
Sublicense rights No
Territory of use World Wide
Thematic Cluster Social Data [SD]
TimeCoverage 2019-01-23 14:50
system:type Dataset
Management Info
Field Value
Author Guidotti Riccardo
Maintainer Guidotti Riccardo
Version 1
Last Updated 23 October 2023, 11:56 (CEST)
Created 23 January 2019, 15:18 (CET)