Skip to main content

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)