Project 4: Machine Learning Fairness

Project Description

Term: Fall 2021

• Team #2

• Projec title: Comparison of A1 (learning fairness representation) and A5(Prejudice Remover)

• Team members

  • Li, Spark (hl3431@columbia.edu)
  • Lu, Jing (jl5886@columbia.edu)
  • Venkatesh, Meghna (mv2849@columbia.edu)
  • Yorulmaz, Egem (ey2300@columbia.edu)
  • Yun, Jee sun (jy3112@columbia.edu)

• Project summary: We define algorithm1 and algorithm5 each separately in two notebooks and try to compare their accuracy and callibration. We also set a baseline model as Random Forest as comparison for A5.

Contribution statement: All team members contributed equally in all stages of this project. All team members approve our work presented in this GitHub repository including this contributions statement. Egem and Jeesun worked on A1, Spark and Jing worked on A5 and baseline. Meghna is the presenter for this project.

Following suggestions by RICH FITZJOHN (@richfitz). This folder is orgarnized as follows.

proj/
├── lib/
├── data/
├── doc/
├── figs/
└── output/

Please see each subfolder for a README file.