Logistic regression with 7 features (A) (LR7), logistic regression with 2 features (B) (LR2), a nonlinear SVM with 7 features (C) (NL-SVM), and the commercial COMPAS software with 137 features (D) (COMPAS). The results in columns (A), (B), and (C) correspond to the average testing accuracy over 1000 random 80%/20% training/testing splits. The values in the square brackets correspond to the 95% bootstrapped [columns (A), (B), and (C)] and binomial [column (D)] confidence intervals.
| (A) LR7 | (B) LR2 | (C) NL-SVM | (D) COMPAS | |
| Accuracy (overall) | 66.6% [64.4, 68.9] | 66.8% [64.3, 69.2] | 65.2% [63.0, 67.2] | 65.4% [64.3, 66.5] |
| Accuracy (black) | 66.7% [63.6, 69.6] | 66.7% [63.5, 69.2] | 64.3% [61.1, 67.7] | 63.8% [62.2, 65.4] |
| Accuracy (white) | 66.0% [62.6, 69.6] | 66.4% [62.6, 70.1] | 65.3% [61.4, 69.0] | 67.0% [65.1, 68.9] |
| False positive (black) | 42.9% [37.7, 48.0] | 45.6% [39.9, 51.1] | 31.6% [26.4, 36.7] | 44.8% [42.7, 46.9] |
| False positive (white) | 25.3% [20.1, 30.2] | 25.3% [20.6, 30.5] | 20.5% [16.1, 25.0] | 23.5% [20.7, 26.5] |
| False negative (black) | 24.2% [20.1, 28.2] | 21.6% [17.5, 25.9] | 39.6% [34.2, 45.0] | 28.0% [25.7, 30.3] |
| False negative (white) | 47.3% [40.8, 54.0] | 46.1% [40.0, 52.7] | 56.6% [50.3, 63.5] | 47.7% [45.2, 50.2] |