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Linear Classification research benchmarks · SOTA2 Research

Linear Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 (test)

94.7Top-1 Accuracy

116

May 19, 2026

ImageNet 1K 1.0 (val)

73.8Top-1 Accuracy

48

Feb 26, 2026

93Accuracy

39

Feb 27, 2026

90.8AUC

39

Feb 27, 2026

CheXpert (test)

0.9AUC

39

Feb 27, 2026

ImageNet 1k (val)

73.5Top-1 Accuracy

37

Feb 26, 2026

ImageNet official (val)

Supervised ResNet50 v2

76Accuracy

19

Feb 26, 2026

Places205 official (val)

Supervised ResNet50 v2

61.6Accuracy

14

Feb 26, 2026

34.2Accuracy

12

Jun 9, 2026

68.1Accuracy

12

Jun 9, 2026

97.1Accuracy

12

Jun 9, 2026

Computer (random)

89.7Accuracy

12

Jun 9, 2026

93.4Accuracy

12

Jun 9, 2026

PubMed (random)

83.6Accuracy

12

Jun 9, 2026

Citeseer (random)

73.6Accuracy

12

Jun 9, 2026

CheXpert v1.0 (test)

88.8AUC (1%)

12

Feb 27, 2026

COVIDx 100% (train)

93.4Accuracy

9

Feb 27, 2026

COVIDx 10% (train)

88.2Accuracy

9

Feb 27, 2026

COVIDx 1% (train)

76.6Accuracy

9

Feb 27, 2026

RSNA 100% (train)

93.6AUC

9

Feb 27, 2026

RSNA 10% (train)

0.929AUC

9

Feb 27, 2026

RSNA 1% (train)

92.2AUC

9

Feb 27, 2026

CheXpert 100% (train)

91.1AUC

9

Feb 27, 2026

CheXpert (10% train)

90.4AUC

9

Feb 27, 2026

CheXpert 1% (train)

89.7AUC

9

Feb 27, 2026

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