We aim to redo Propublica analysis in Python. This project was created for the MIT Structure and Interpretation of Deep Networks IAP class.
For more detailed information about the COMPAS dataset and the derivations, I encourage you to check out the Propublica repo.
This repository contains a Jupyter notebook and data for the ProPublica story "Machine Bias."
Story: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing/
Methodology: https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm/
Original Notebook in R (you'll probably want to follow along in the methodology): https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb