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Papers Benchmarks Datasets Tasks

Multi-class classification research benchmarks – Page 3 · SOTA2 Research

Multi-class classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Grand-averaged Multi-class Datasets (test)

RocketStack (Periodic Attention (Rand-λ = 0.05))

98.6Accuracy

12

Mar 4, 2026

RL with rejection-based reward

0.046Loss

12

Feb 26, 2026

Office+Caltech cross-domain scenarios DeCAF6 features

85.72Average Accuracy

12

Feb 26, 2026

100ROC AUC

11

Feb 26, 2026

1ROC-AUC

11

Feb 26, 2026

BRIGHT 6class (test)

43.4Accuracy

11

Feb 26, 2026

54.58Accuracy

11

Feb 26, 2026

FEMNIST realistic non-IID LEAF benchmark (test)

85.2Top-1 Acc

11

Feb 26, 2026

EBES Pendulum (test)

83.8Accuracy

10

Jun 23, 2026

EBES ElectricDevices (test)

74.4Accuracy

10

Jun 23, 2026

EBES ArabicDigits (test)

98.6Accuracy

10

Jun 23, 2026

EBES Age (test)

63.6Accuracy

10

Jun 23, 2026

EBES Retail (test)

55.5Accuracy

10

Jun 23, 2026

CIFAR100 Asymmetric Noise, η=0.4

45.49Accuracy

10

May 21, 2026

CIFAR100 Asymmetric Noise, η=0.3

59.76Accuracy

10

May 21, 2026

CIFAR100 Asymmetric Noise, η=0.2

68.3Accuracy

10

May 21, 2026

CIFAR100 Symmetric Noise, η=0.8

31.56Accuracy

10

May 21, 2026

CIFAR100 Symmetric Noise, η=0.6

56.42Accuracy

10

May 21, 2026

CIFAR100 Symmetric Noise, η=0.4

65.9Accuracy

10

May 21, 2026

CIFAR10 Asymmetric Noise, η=0.4

78.6Accuracy

10

May 21, 2026

CIFAR10 Asymmetric Noise, η=0.3

86.11Accuracy

10

May 21, 2026

CIFAR10 Asymmetric Noise, η=0.2

90.1Accuracy

10

May 21, 2026

CIFAR10 Symmetric Noise, η=0.8

62.08Accuracy

10

May 21, 2026

CIFAR10 Symmetric Noise, η=0.6

81.82Accuracy

10

May 21, 2026

CIFAR10 Symmetric Noise, η=0.4

88.17Accuracy

10

May 21, 2026

Page 3 of 9

Popular datasets

CIFAR OpenML EBES ADNI CIFAR100

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