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Papers Benchmarks Datasets Tasks

Classification research benchmarks – Page 169 · SOTA2 Research

Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Linear-Torus Out-of-Distribution

97Accuracy

4

Feb 26, 2026

Linear-Sphere Out-of-Distribution

93Accuracy

4

Feb 26, 2026

Linear-Cylinder Out-of-Distribution

0.935Accuracy

4

Feb 26, 2026

Linear-Cone Out-of-Distribution

96.6Accuracy

4

Feb 26, 2026

Linear-Cone In-Distribution

94.7Accuracy

4

Feb 26, 2026

CoverType (5-fold cross-validation)

78.7Accuracy

4

Feb 26, 2026

FashionMNIST (5-fold cross-validation)

97.1Accuracy

4

Feb 26, 2026

Olivetti (test)

70.5Accuracy

4

Feb 26, 2026

73.12Accuracy

4

Feb 26, 2026

Olivetti (train)

0.265Training Loss

4

Feb 26, 2026

94.72Accuracy

4

Feb 26, 2026

98.75Accuracy

4

Feb 26, 2026

0.961AUC

4

Feb 26, 2026

Fashion-MNIST seasonal setup

Centralized Baseline

88Final Accuracy

4

Feb 26, 2026

97.5Accuracy

4

Feb 26, 2026

95.2Accuracy

4

Feb 26, 2026

Online Shopping Intention (test)

89.86Accuracy

4

Feb 26, 2026

1Vote Precision

4

Feb 26, 2026

84.72Accuracy

4

Feb 26, 2026

99.99Accuracy

4

Feb 26, 2026

99.1Accuracy

4

Feb 26, 2026

CIFAR-100 40% labeled data

41.27Accuracy

4

Feb 26, 2026

CIFAR-100 30% labeled data

35.31Accuracy

4

Feb 26, 2026

CIFAR-100 20% labeled data

32.41Accuracy

4

Feb 26, 2026

10-days 1.0 (test)

Centralized Learning

89.19AUC

4

Feb 26, 2026

Page 169 of 202

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