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This ML group project focuses on training and evaluating machine learning models to define fairness. It examines the influence of features like race, age, and gender on COMPAS scores compared to true recidivism rates, while optimizing models for accurate predictions.
nwaliv/AI_Recidivism_Algorithm_Analysis
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This ML group project focuses on training and evaluating machine learning models to define fairness. It examines the influence of features like race, age, and gender on COMPAS scores compared to true recidivism rates, while optimizing models for accurate predictions.
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- Jupyter Notebook 93.4%
- Python 6.6%