SGF² AI Project

Comprehensive ML pipeline comparing classifiers (Logistic Regression, Random Forest, XGBoost) on the UCI Adult census dataset. Includes exploratory data analysis, feature engineering, cross-validation, fairness metrics (demographic parity, equal opportunity), and SHAP-based feature importance interpretation.