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Fair Classification on German Credit (test)

5.15Equal Opportunity DifferenceFair Self-Bounding Learning Algorithm
2.32821.376540.42559.4735Feb 12, 2026

Evaluation results

MethodLinks
Fair Self-Bounding Learning AlgorithmSens. attr.=OTHER, Type=deterministic, Optimized fairness measure=EO2026.025.15————29.4———
FairEnsdemographic_access=blind2026.0236.552.725.947.532.8————
SUREdemographic_access=blind2026.0239.165.940.845.935.8————
SPECTRE+TOPN+WCEdemographic_access=blind2026.0248.470.641.545.344.9————
SPECTRE+WCE+T+Ademographic_access=blind2026.0252.870.441.146.445.2————
SPECTRE+WCEdemographic_access=blind2026.0254.570.542.345.246.1————
SPECTRE+ACCdemographic_access=blind2026.0254.871.144.143.745.2————
RLMdemographic_access=blind2026.0262.954.929.658.351.9————
XGBdemographic_access=baseline2026.0271.773.52064.864.4————
MMPFreldemographic_access=train and validation2026.0272.172.819.262.166.5————
LRdemographic_access=baseline2026.0273.372.712.571.163.9————
GDROdemographic_access=train and validation2026.0274.273.718.963.467.7————
MMPFdemographic_access=train and validation2026.0275.371.317.864.769.3————
BPFdemographic_access=blind2026.0275.547.134.554.366————
ARLdemographic_access=blind2026.0275.7742061.470.8————
C-IFAIR2026.02———————766.5
FULL2026.02———————76.217.3
ℓ-IFAIR2026.02———————7515.1
NO-DESCS2026.02———————72.68.5
O2Sens. attr.=GENDER, Type=stochastic, Optimized fairness measure=DP2026.02————0.1149.78———
ORACLE2026.02———————58.20
UNAWARE2026.02———————69.510.1
ϵ-IFAIR2026.02———————75.68.2