Build Table Visualization to Support Fairness Metrics

[firste]

Is your feature request related to a problem? Please describe

Seismometer is currently using aequitas for its fairness audit since it is a package that some healthcare organizations were already using. This has brought with it some other issues that have affected seismometer including -

• No support for Python 3.12 - issue with pr
• UX issues
  • Use more than color to differentiate pass/fail - link
  • Pass / fail language is too strong and should be configurable by variable - link
• Use of altair rather than matplotlib for data visualization added development effort represented in pr

Describe the solution you'd like

Use fairlearn directly to generate relevant fairness metrics and plot them using either matplotlib or great_tables.

Describe alternatives you've considered

Additional context