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Binary Classification research benchmarks – Page 9 · SOTA2 Research

Binary Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

SD-Pcomp-Unbiased

0.93AUC

13

Mar 23, 2026

Convex (γ = 0.2)-ABS

98.2AUC

13

Mar 23, 2026

98.5AUC

13

Mar 23, 2026

haberman UCI (test)

78.25Accuracy

13

May 4, 2026

australian UCI (test)

87.2Accuracy

13

Jun 5, 2026

CFSGB+MAML (MeLeMaD)

99.97Accuracy

13

Feb 26, 2026

GOOD-PCBA size split concept shift

18.21AP

13

Feb 26, 2026

GOOD-PCBA size split covariate shift

0.18AP

13

Feb 26, 2026

GOOD-PCBA scaffold split concept shift

0.238AP

13

Feb 26, 2026

GOOD-PCBA scaffold split, covariate shift

17.32AP

13

Feb 26, 2026

reference architecture

0.279Loss

13

Feb 26, 2026

85.5AUROC

12

Jun 25, 2026

79AUROC

12

Jun 25, 2026

ePytope mutation sets

67.2AUC

12

Jun 18, 2026

NICO++ Bike vs. Motorbike

90.2Accuracy (AVG)

12

May 13, 2026

NICO++ Ship vs. Sailboat

84.6Accuracy

12

May 13, 2026

NICO++ Car vs. Bus

Native Backbone

88.9Accuracy

12

May 13, 2026

NICO++ Car vs. Truck

86.1Average Accuracy

12

May 13, 2026

Gender 2019 (test)

CoLES + GrEmbAdj

0.889AUC

12

Apr 13, 2026

83.3Accuracy (Binary)

12

Mar 23, 2026

CalibratedEqOddsPostprocessing

91.65Accuracy

12

Mar 20, 2026

73.5Accuracy

12

Mar 20, 2026

66.1Accuracy

12

Mar 20, 2026

Model Ensemble-Based Post-Processing Framework (Best-Perf)

85.22Accuracy

12

Mar 20, 2026

Therapist Q&A (test)

MentalRoBERTa (MLP Labels)

0.598Kappa (κF1)

12

Feb 26, 2026

Page 9 of 38

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