Determining How Different Factors Affect Police-Allegation’s Sustainability in Chicago using Decision-Tree

Linxin Yang

2021

Abstract

The Citizen Police Data Project (CPDP) is a database of allegations made against the Chicago Police Department. Reports made against officers are rarely sustained, which results in the perception of little officer accountability and contributes to widespread distrust of law enforcement. Using a decision tree model on the CPDP database, this work explores how the following factors: officer years of employment, complainant type, investigation agency, and allegation severity level, affects the outcome of an allegation work together to increase or decrease the sustainability of allegations made against CPD between 2008 to 2018. The results found that when a CPD employee reports an allegation, it has higher chances to be sustained. However, for allegations reported by civilians, a third-party agency increases the likelihood of allegation sustainability.

Paper Citation

in Harvard Style

Yang L. (2021). Determining How Different Factors Affect Police-Allegation’s Sustainability in Chicago using Decision-Tree. In Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-521-0, pages 137-143. DOI: 10.5220/0010510001370143

in Bibtex Style

@conference{data21,
author={Linxin Yang},
title={Determining How Different Factors Affect Police-Allegation’s Sustainability in Chicago using Decision-Tree},
booktitle={Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2021},
pages={137-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010510001370143},
isbn={978-989-758-521-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Determining How Different Factors Affect Police-Allegation’s Sustainability in Chicago using Decision-Tree
SN - 978-989-758-521-0
AU - Yang L.
PY - 2021
SP - 137
EP - 143
DO - 10.5220/0010510001370143