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Multiclass Classification research benchmarks – Page 5 · SOTA2 Research

Multiclass Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

OCOR (OCO-based online realizable)

47.6Accuracy

4

Feb 26, 2026

Algorithm 1 (Agn)

86Accuracy

4

Feb 26, 2026

OCOR (OCO-based online realizable)

0.793Accuracy

4

Feb 26, 2026

OnlineMBBM (Opt)

80.8Accuracy

4

Feb 26, 2026

Algorithm 1 (Agn)

80.6Accuracy

4

Feb 26, 2026

Algorithm 1 (Agn)

84.4Accuracy

4

Feb 26, 2026

mfeat morphological

79.85Balanced Accuracy

3

Jul 7, 2026

99.4Accuracy

3

Feb 26, 2026

33.5Error Rate

2

Jun 2, 2026

9.3Error Rate

2

Jun 2, 2026

50.01Accuracy

2

May 22, 2026

POKEC-REGIONS RH

47.79Accuracy

2

May 22, 2026

HM-CATEGORIES RH

72.86Accuracy

2

May 22, 2026

47.76Accuracy

2

May 22, 2026

POKEC-REGIONS RL

41.25Accuracy

2

May 22, 2026

HM-CATEGORIES RL

57.41Accuracy

2

May 22, 2026

47.6Weighted F1

2

Feb 26, 2026

0.481Weighted F1

2

Feb 26, 2026

0.604Weighted F1

2

Feb 26, 2026

55.9Weighted F1

2

Feb 26, 2026

97.8Accuracy

2

Feb 26, 2026

91.2Accuracy

2

Feb 26, 2026

99.5Accuracy

2

Feb 26, 2026

GesturePhaseSegmentation Processed

66.4Accuracy

2

Feb 26, 2026

first-order-theorem-proving

0.606Accuracy

2

Feb 26, 2026

Page 5 of 6

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