Appendix H — Ensemble Code

H.1 Data and Module Imports

H.2 Random Forests

H.2.1 Random Forest Fit/Predict

H.2.2 Random Forest Model Metrics

Model	Data	Accuracy	Precision	Recall	F1	ROC-AUC
Random Forest	With Protected Classes	0.928218	0.936082	0.983209	0.959067	0.793219
Random Forest	Without Protected Classes	0.925563	0.939756	0.975503	0.957296	0.802960

H.2.3 Random Forest Confusion Matrices

H.3 XGBoost

H.3.1 XGBoost Fit/Preict

H.3.2 XGBoost Model Metrics

Model	Data	Accuracy	Precision	Recall	F1	ROC-AUC
XGBoost	With Protected Classes	0.933653	0.939455	0.985969	0.962150	0.805219
XGBoost	Without Protected Classes	0.932645	0.939074	0.985164	0.961567	0.803712

H.3.3 XGBoost Confusion Matrices