Figures
Tables
- Table 1 Human versus COMPAS algorithmic predictions from 1000 defendants.
Human versus COMPAS algorithmic predictions from 1000 defendants.. Overall accuracy is specified as percent correct, AUC-ROC, and criterion sensitivity (d′) and bias (β). See also Fig. 1.
(A) Human
(no race)(B) Human
(race)(C) COMPAS Accuracy (overall) 67.0% 66.5% 65.2% AUC-ROC (overall) 0.71 0.71 0.70 d′/β (overall) 0.86/1.02 0.83/1.03 0.77/1.08 Accuracy (black) 68.2% 66.2% 64.9% Accuracy (white) 67.6% 67.6% 65.7% False positive (black) 37.1% 40.0% 40.4% False positive (white) 27.2% 26.2% 25.4% False negative (black) 29.2% 30.1% 30.9% False negative (white) 40.3% 42.1% 47.9%
