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Multi-class classification research benchmarks – Page 7 · SOTA2 Research

Multi-class classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Kaggle Covertype 2015

67.78P-Rank

6

Feb 26, 2026

Kaggle Cirrhosis 2023

73.06p-rank

6

Feb 26, 2026

86.2Accuracy

6

Feb 26, 2026

BanglaAbuse Task B

76.82Macro F1

6

Feb 26, 2026

Intent Semantic Toolkit (test)

33.9Accuracy (0-shot)

6

Feb 26, 2026

Original (test)

73.4Accuracy (0-shot)

6

Feb 26, 2026

78.82Accuracy

6

Feb 26, 2026

Office unsupervised standard

Deep Domain Confusion

81.2Average Accuracy

6

Feb 26, 2026

Unsupervised Cognition

74.6Accuracy

5

Jun 2, 2026

Intrusion Detection 12 classes, severe imbalance

92.2Accuracy

5

May 20, 2026

Cover holdout (test)

0.579CEL

5

Apr 23, 2026

Sawmill Suitability Classification Dataset

86.48Accuracy

5

Apr 8, 2026

BrainFlow N=32 Channels (test)

Random Forest (50 Trees)

100Test Accuracy

5

Mar 20, 2026

72.77Accuracy

5

Mar 13, 2026

72.4Accuracy

5

Mar 13, 2026

Dbpedia Non-IID

98.96Accuracy

5

Mar 13, 2026

99.1Accuracy

5

Mar 13, 2026

14 Multi-Class Datasets Aggregate (test)

0.774MRR

5

Mar 13, 2026

93.3Macro F1-score

5

Mar 13, 2026

Solar Flare (test)

17.1Macro F1-score

5

Mar 13, 2026

Contraceptive (test)

0.496Macro F1 Score

5

Mar 13, 2026

66.3Macro F1 Score

5

Mar 13, 2026

0.489Macro F1 Score

5

Mar 13, 2026

Balance Scale (test)

59.3Macro F1

5

Mar 13, 2026

93.8Macro F1

5

Mar 13, 2026

Page 7 of 9

Popular datasets

CIFAR OpenML EBES ADNI CIFAR100

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