Average test set AUC with SD (at training set specificity of approximately 0.76) of different combinations of resampling procedure plus statistical/machine learning method, by racial/ethnic group
| Asian | Black | Hispanic | White | Size of range | |
| Blind—Logistic Regression | 0.77 (0.02) | 0.73 (0.05) | 0.77 (0.02) | 0.73 (0.01) | 0.06 (0.04) |
| Blind—Naive Bayes | 0.74 (0.03) | 0.73 (0.04) | 0.75 (0.02) | 0.71 (0.01) | 0.06 (0.03) |
| Blind—XGBoost | 0.79 (0.02) | 0.73 (0.05) | 0.79 (0.01) | 0.76 (0.01) | 0.07 (0.05) |
| Blind—Random Forest | 0.77 (0.02) | 0.72 (0.05) | 0.76 (0.01) | 0.73 (0.01) | 0.07 (0.04) |
| Separate—Logistic Regression | 0.74 (0.02) | 0.66 (0.05) | 0.75 (0.02) | 0.73 (0.01) | 0.10 (0.05) |
| Separate—Naive Bayes | 0.73 (0.03) | 0.67 (0.05) | 0.74 (0.02) | 0.71 (0.01) | 0.09 (0.04) |
| Separate—XGBoost | 0.76 (0.02) | 0.69 (0.06) | 0.75 (0.02) | 0.75 (0.01) | 0.09 (0.05) |
| Separate—Random Forest | 0.74 (0.02) | 0.67 (0.07) | 0.75 (0.01) | 0.73 (0.01) | 0.10 (0.06) |
| Equity—Logistic Regression | 0.76 (0.02) | 0.71 (0.05) | 0.77 (0.02) | 0.72 (0.01) | 0.08 (0.04) |
| Equity—Naive Bayes | 0.74 (0.03) | 0.72 (0.05) | 0.76 (0.02) | 0.71 (0.01) | 0.07 (0.03) |
| Equity—XGBoost | 0.77 (0.03) | 0.73 (0.06) | 0.78 (0.01) | 0.74 (0.01) | 0.08 (0.05) |
| Equity—Random Forest | 0.76 (0.03) | 0.70 (0.06) | 0.76 (0.01) | 0.72 (0.01) | 0.09 (0.05) |
For each column and each resampling method, boldface indicates the top performing method(s).
AUC, area under the curve.