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Classification research benchmarks – Page 86 · SOTA2 Research

Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

balance-scale (test)

92Accuracy

9

May 11, 2026

0.057Empirical Risk (Rs(h))

9

Feb 26, 2026

70.6Empirical Risk

9

Feb 26, 2026

Letter pi+=0.8 UCI (test)

97.6Accuracy

9

Feb 26, 2026

Pendigits pi+=0.8 UCI (test)

99.8Accuracy

9

Feb 26, 2026

USPS pi+=0.8 UCI (test)

98.5Accuracy

9

Feb 26, 2026

Optdigits pi+=0.8 UCI (test)

98.7Accuracy

9

Feb 26, 2026

Letter pi+=0.5 UCI (test)

97.5Accuracy

9

Feb 26, 2026

Pendigits pi+=0.5 UCI (test)

99.7Accuracy

9

Feb 26, 2026

USPS pi+=0.5 UCI (test)

98Accuracy

9

Feb 26, 2026

Optdigits pi+=0.5 UCI (test)

98.8Accuracy

9

Feb 26, 2026

Letter (pi+=0.2) UCI (test)

97.8Accuracy

9

Feb 26, 2026

Pendigits pi+=0.2 UCI (test)

99.8Accuracy

9

Feb 26, 2026

USPS pi+=0.2 UCI (test)

98.4Accuracy

9

Feb 26, 2026

Optdigits (pi+=0.2) UCI (test)

99Accuracy

9

Feb 26, 2026

81.2Macro F1

9

Feb 26, 2026

Breast Cancer (UCI) (test)

0.117NLL

9

May 18, 2026

Waveform (UCI) (test)

0.299NLL

9

May 18, 2026

Vehicle (UCI) (test)

0.422NLL

9

May 18, 2026

CelebA HairColor (test)

95.6In-Distribution Accuracy

9

Feb 26, 2026

99.97Accuracy

9

Feb 26, 2026

ModelNet40 GZSL v1 (seen + unseen test)

84.7Accuracy (Seen)

9

Feb 26, 2026

77.8Accuracy

9

Feb 26, 2026

90Accuracy

9

Feb 26, 2026

58.9Accuracy

9

Feb 26, 2026

Page 86 of 202

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