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Binary Classification research benchmarks – Page 29 · SOTA2 Research

Binary Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Alzheimer's disease GSE84422 (Normal vs. Probable AD)

88.2Mean AUC

4

Apr 28, 2026

Alzheimer's disease GSE84422 (Normal vs. Possible AD)

0.915Mean AUC

4

Apr 28, 2026

LexGLUE (Realistic)

99.3Accuracy

4

Apr 27, 2026

Drone imagery Trichoptera (test)

79Mean AUC

4

Apr 16, 2026

Drone imagery Plecoptera (test)

0.9Mean AUC

4

Apr 16, 2026

RelBench v2 (test)

56.33AUROC (mimic stay)

4

Apr 15, 2026

98.34F1-score

4

Apr 15, 2026

UNSW-NB15 (test)

96.89F1-score

4

Apr 15, 2026

held-out n=2,332 (test)

99.61Accuracy

4

Apr 10, 2026

92AUC

4

Mar 30, 2026

0.773AUC

4

Mar 30, 2026

88.7AUC

4

Mar 30, 2026

74.8Accuracy

4

Mar 24, 2026

67.5Accuracy

4

Mar 24, 2026

0.828Accuracy

4

Mar 24, 2026

Poisson distribution n=1,000 (test)

82.2Accuracy

4

Mar 24, 2026

Exponential distribution n=1,000 (test)

69.2Accuracy

4

Mar 24, 2026

Gamma distribution (n=1,000) (test)

67.9Accuracy

4

Mar 24, 2026

Weibull distribution n=1,000 (test)

87.2Accuracy

4

Mar 24, 2026

Twitter Non-IID

94.43Accuracy

4

Mar 13, 2026

94.37Accuracy

4

Mar 13, 2026

98.32Accuracy

4

Mar 13, 2026

0.984Accuracy

4

Mar 13, 2026

96.07Accuracy

4

Mar 13, 2026

96.37Accuracy

4

Mar 13, 2026

Page 29 of 38

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MNIST CIFAR Adult blood iNAT

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