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Classification research benchmarks – Page 51 · SOTA2 Research

Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

DN-painting (test)

0.615Test Loss

13

Feb 26, 2026

DN-quickdraw (test)

0.683Test Loss

13

Feb 26, 2026

DN-sketch (test)

0.869Test Loss

13

Feb 26, 2026

0.19Test Loss

13

Feb 26, 2026

0.215Test Loss

13

Feb 26, 2026

0.481Test Loss

13

Feb 26, 2026

Spambase (test)

0.283Test Loss

13

Jul 1, 2026

0.309Test Loss

13

Feb 26, 2026

Mushroom (test)

0.144Test Loss

13

Feb 26, 2026

0.368Test Loss

13

Feb 26, 2026

97.23Top-1 Accuracy

13

Feb 26, 2026

93Accuracy

13

Feb 26, 2026

69Accuracy

13

Feb 26, 2026

FEVER Symmetric v2 1.0

69.1Accuracy

13

Feb 26, 2026

FEVER-Symmetric 1.0

65.9Accuracy

13

Feb 26, 2026

87.5Accuracy

13

Feb 26, 2026

97.3Accuracy

13

Feb 26, 2026

0.91Accuracy

13

Feb 26, 2026

Zero-Shot Accuracy

67.7Accuracy

12

Jul 7, 2026

Zero-Shot Accuracy

32.5Accuracy

12

Jul 7, 2026

Zero-Shot Accuracy

79.6Accuracy

12

Jul 7, 2026

9CovGap

12

Jul 1, 2026

7CovGap

12

Jul 1, 2026

0.08CovGap

12

Jul 1, 2026

9CovGap

12

Jul 1, 2026

Page 51 of 202

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