Causal approach to selective labels
Repository for the research project called Causal approach to selective labels with the required data sets. This repository has originally been forked from the ProPublica repository for COMPAS analysis.
Original README:
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Didn't Reoffend |____|____|
Reoffended | | |
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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/
Notebook (you'll probably want to follow along in the methodology):
https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb
Main Dataset:
compas.db - a sqlite3 database containing criminal history, jail and prison time, demographics and COMPAS risk scores for defendants from Broward County.
Other files as needed for the analysis.