The compas dataset contains the features used by the COMPAS algorithm for scoring defendants and their risk (Low, Medium and High), for over $4,000$ individuals. We considered two classes Low-Medium and High risk, and features like: age, sex, race, riors_count, days_b_screening_arrest, length_of_stay, c_charge_degree, is_recid, etc.

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Personal Data Attributes

Description: Personal Data related Information

Field Value
ChildrenData No
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 Kaggle 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 N/A (Not appliable)
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 14:45
system:type Dataset
Management Info
Field Value
Author Guidotti Riccardo
Maintainer Guidotti Riccardo
Version 1
Last Updated 23 October 2023, 11:52 (CEST)
Created 23 January 2019, 14:47 (CET)