https://github.com/default78688/compas-recidivism-prediction
Build and evaluate machine learning models on the COMPAS dataset to predict two-year recidivism, assess fairness and bias in criminal justice decisions. 🐙
https://github.com/default78688/compas-recidivism-prediction
binary-classification classification compas compas-algorithm cox-proportional-hazard criminal-justice data-science demographic-predictors fairness feature-engineering imbalanced-data logistic-regression machine-learning python recidivism-prediction risk-assessment sass xgboost
Last synced: about 1 month ago
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Build and evaluate machine learning models on the COMPAS dataset to predict two-year recidivism, assess fairness and bias in criminal justice decisions. 🐙
- Host: GitHub
- URL: https://github.com/default78688/compas-recidivism-prediction
- Owner: default78688
- License: mit
- Created: 2025-08-18T13:12:34.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-26T06:30:04.000Z (about 1 month ago)
- Last Synced: 2025-08-26T08:35:34.873Z (about 1 month ago)
- Topics: binary-classification, classification, compas, compas-algorithm, cox-proportional-hazard, criminal-justice, data-science, demographic-predictors, fairness, feature-engineering, imbalanced-data, logistic-regression, machine-learning, python, recidivism-prediction, risk-assessment, sass, xgboost
- Language: Jupyter Notebook
- Size: 896 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE