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Fairness-aware Classification research benchmarks · SOTA2 Research

Fairness-aware Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Bounded Adaptive

83.24Accuracy (Female)

35

Jun 11, 2026

Adult race (test)

87.21Accuracy

25

Mar 6, 2026

88.23Accuracy

18

May 12, 2026

COMPAS race (test)

1.8DP

14

May 26, 2026

WIDAR Orientation (5-fold cross-validation)

0.374EO Gap

12

Mar 19, 2026

EDA-Hand (5-fold cross-val)

0.389EO Gap

12

Mar 19, 2026

30Training Time (min)

7

Feb 26, 2026

10Training Time (min)

7

Feb 26, 2026

1Training Time (min)

7

Feb 26, 2026

1Training Time (min)

7

Feb 26, 2026

DefaultCredit sex (test)

81.45Accuracy

5

Feb 26, 2026

Census Income KDD sex (test)

93.81Accuracy

5

Feb 26, 2026

Adult sex (test)

87.22Accuracy

5

Feb 26, 2026

COMPAS sex (test)

66.98Accuracy

5

Feb 26, 2026

German sex (test)

67.2Accuracy

5

Feb 26, 2026

Adult gender attribute (test)

Cauchy-Schwarz (CS) Fairness Regularizer

83.04Accuracy

3

Feb 26, 2026

Pleiss setup (test)

0.832AUC

3

Feb 26, 2026

Rezaei setup (test)

Base Logistic Regression

74.71AUC

3

Feb 26, 2026

pmad_epds (test)

—

—Primary metric

0

Mar 20, 2026

pmad_phq (test)

—

—Primary metric

0

Mar 20, 2026

—

—Primary metric

0

Mar 20, 2026

—

—Primary metric

0

Mar 20, 2026

compas violent (test)

—

—Primary metric

0

Mar 20, 2026

us_crime (test)

—

—Primary metric

0

Mar 20, 2026

—

—Primary metric

0

Mar 20, 2026

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