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Multi-Label Classification research benchmarks – Page 12 · SOTA2 Research

Multi-Label Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

3sources bbc1000

36.18F-Measure

5

Mar 17, 2026

43.09Accuracy

5

Mar 17, 2026

39.23Accuracy

5

Mar 17, 2026

81.23Accuracy

5

Mar 17, 2026

46.17Accuracy

5

Mar 17, 2026

37.36Accuracy

5

Mar 17, 2026

36.52Accuracy

5

Mar 17, 2026

23.43Accuracy

5

Mar 17, 2026

91.13Accuracy

5

Mar 17, 2026

89.9Accuracy

5

Mar 17, 2026

38.19Accuracy

5

Mar 17, 2026

25.03Accuracy

5

Mar 17, 2026

53.29Accuracy

5

Mar 17, 2026

22.12Accuracy

5

Mar 17, 2026

3sources inter3000

15.38Accuracy

5

Mar 17, 2026

3sources guardian1000

22.43Accuracy

5

Mar 17, 2026

3sources bbc1000

28.52Accuracy

5

Mar 17, 2026

OCT-ML (five-fold cross-validation)

59.95Sensitivity

5

Feb 26, 2026

72.7F1 (Happy)

5

Feb 26, 2026

P-ASL, Selective

73.19Performance Group 1

5

Feb 26, 2026

MIMIC-CXR-JPG (val)

71.5AUC (Total)

5

Feb 26, 2026

Multi-Label Reviews (MLR)

79.8Exact Match Accuracy

4

Jun 2, 2026

m-bigearthnet (test)

OlmoEarth v1.1 ViT Base

63.7µF1 Score

4

May 21, 2026

BigEarthNet v2 (test)

73.4mAP

4

Mar 23, 2026

94.5mAP

4

Mar 9, 2026

Page 12 of 14

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