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Code for paper "A survey on datasets for fairness-aware learning", @ Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (https://doi.org/10.1002/widm.1452). Repository maintained by Tai Le Quy.

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Materials for paper "A survey on datasets for fairness-aware machine learning" DOI: https://doi.org/10.1002/widm.1452

The repository contains:

  1. Datasets
  • Dutch census
  • Law school
  1. Experiments
  • Cleaned datasets
  • Notebook: Fair-metrics.ipynb
  • Fairness measures: Statistical parity, Equalized odds, Absolute Between-ROC Area
  1. Bayesian network (notebook files)
  • COMPAS dataset
  • ACS PUMS dataset (new adult dataset)

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Code for paper "A survey on datasets for fairness-aware learning", @ Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (https://doi.org/10.1002/widm.1452). Repository maintained by Tai Le Quy.

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  • Jupyter Notebook 93.4%
  • Python 6.6%