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Table 2 NIJFM scores and false positive rates on held-out (50%) test data with cutoffs of \(c=0.3\) and \(c=0.7\) for decision boundary. Bootstrap standard errors reported in parentheses

From: A note on the multiplicative fairness score in the NIJ recidivism forecasting challenge

Model FP black FP white NIJFM FP Black FP white NIJFM
  (\(c=0.3\)) (\(c=0.3\)) (\(c=0.3\)) (\(c=0.7\)) (\(c=0.7\)) (\(c=0.7\))
Linear Reg. 0.485 (0.009) 0.354 (0.009) 0.702 (0.010) 0 0 0.808 (0.002)
Logistic Reg. 0.430 (0.008) 0.303 (0.009) 0.706 (0.010) 0.003 (0.001) 0.001 (0.001) 0.807 (0.002)
Linear Reg. (Trunc.) 0 0 0.798 (0.002) 0 0 0.808 (0.002)
Linear Reg. (Shrink) 0.369 (0.008) 0.354 (0.009) 0.795 (0.008) 0 0 0.808 (0.002)
Convex Surrogate 0.478 (0.009) 0.377 (0.009) 0.725 (0.010) 0 0 0.808 (0.002)
BFGS 0.434 (0.008) 0.428 (0.010) 0.795 (0.007) 0 0 0.808 (0.002)
Linear Reg. (Balanced) 0.487 (0.008) 0.354 (0.009) 0.701 (0.010) 0 0 0.808 (0.002)
Linear Reg. (Group) 0.485 (0.008) 0.358 (0.009) 0.705 (0.010) 0 0 0.808 (0.002)
XG Boost 0.472 (0.008) 0.377 (0.009) 0.731 (0.010) 0 0 0.808 (0.002)
XG Boost (Trunc.) 0 0 0.798 (0.002) 0 0 0.808 (0.002)
XG Boost (Shrink) 0.386 (0.008) 0.377 (0.009) 0.798 (0.007) 0 0 0.808 (0.002)