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This project aims to understand the algorithmic bias in the corrections system through analyzing the COMPAS dataset.

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bintualkassoum/fair-ml-project

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Project Description

I’m in the process of creating a predictive model using the Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) data set, a tool used to predict offender recidivism. By gaining an understanding of COMPAS’ shortcomings, I hope to build an interactive dashboard that sheds light on predictive model bias.

I wrote a research paper titled “Algorithms in the Criminal Justice System” that touched on this topic and serves as the foundation of this project. This paper can be found here.

Installation

No additional packages need to be installed, as we used Pandas and Numpy, both of which are pre-installed on Google Colab.

For additional information regarding package and library installations via Google Colab, please see here.

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What I Learned

Helpful Resources

Google Colaboratory. (n.d.). packages_and_modules.ipynb. Google Colaboratory (Colab). Retrieved May 21, 2022, from https://colab.research.google.com/github/bebi103a/bebi103a.github.io/blob/master/lessons/03/packages_and_modules.ipynb

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This project aims to understand the algorithmic bias in the corrections system through analyzing the COMPAS dataset.

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