Machine Learning Fairness (R analysis)

Overview

An exploratory fairness analysis in R that computes and visualizes classical metrics (e.g., statistical parity, equalized odds) across groups on a tabular dataset.

Goals

• Implement core fairness metrics and diagnostics in R.
• Summarize disparities and provide actionable plots/tables.

Deliverables

• Report: /projects/ml-fairness/reports/ml_fairness_report.pdf
• Code: /projects/ml-fairness/code/ml_fairness_code.R
• Data (if provided): /projects/ml-fairness/data/

Outcomes

• Consolidated set of fairness indicators and plots to guide further mitigation steps.