Problem
This is a regression problem.
On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the COMPAS scores.
The best models should be explained using XAI tools at the instance level and at the data set level.
Data
COMPAS Recidivism Risk Scores are suspected of being biased https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm. Let's check this.
The data can be downloaded from the propublica website.
https://github.com/propublica/compas-analysis
Example solution
An interesting description of performed analysis can be found here:
https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb
and here
https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm
Problem
This is a regression problem.
On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the COMPAS scores.
The best models should be explained using XAI tools at the instance level and at the data set level.
Data
COMPAS Recidivism Risk Scores are suspected of being biased https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm. Let's check this.
The data can be downloaded from the propublica website.
https://github.com/propublica/compas-analysis
Example solution
An interesting description of performed analysis can be found here:
https://github.com/propublica/compas-analysis/blob/master/Compas%20Analysis.ipynb
and here
https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm