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  • Get Started
  • User Guide
  • API Docs
  • Example Notebooks
  • Contributor Guide
  • FAQ
  • About Us
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Section Navigation

  • Fairness in Machine Learning
  • Assessment
    • Performing a Fairness Assessment
    • Common fairness metrics
    • Defining custom fairness metrics
    • Intersecting Groups
    • Advanced Usage of MetricFrame
    • Plotting
  • Mitigations
    • Preprocessing
    • Reductions
    • Adversarial Mitigation
  • Datasets
    • Adult Census Dataset
      • ACSIncome
    • Revisiting the Boston Housing Dataset
    • Diabetes 130-Hospitals Dataset
  • Installation and version guide
    • Installation Guide
    • Version guide
      • v0.1
      • v0.2.0
      • v0.3.0
      • v0.4.0
      • v0.4.1
      • v0.4.2
      • v0.4.3
      • v0.4.4
      • v0.4.5
      • v0.4.6
      • v0.5.0
      • v0.6.0
      • v0.6.1
      • v0.6.2
      • v0.7.0
      • v0.8.0
      • v0.9.0
  • Further Resources

Datasets#

In this section, we dive deeper into various datasets that have fairness-related concerns.

  • Adult Census Dataset
    • ACSIncome
  • Revisiting the Boston Housing Dataset
    • Introduction
    • Dataset Origin and Use
    • Dataset Issues
    • Fairness-related harms assessment
    • Discussion
  • References
  • Diabetes 130-Hospitals Dataset
    • Introduction
    • Dataset Description
    • Using the dataset

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