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Classification research benchmarks – Page 14 · SOTA2 Research

Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

77.043Mean Accuracy

30

Mar 25, 2026

97.003Mean Accuracy

30

Mar 25, 2026

99.373Mean Accuracy

30

Mar 25, 2026

88.106Mean Accuracy

30

Mar 25, 2026

66.023Mean Accuracy

30

Mar 25, 2026

90.062Mean Accuracy

30

Mar 25, 2026

76.954Mean Accuracy

30

Mar 25, 2026

91.611Mean Accuracy

30

Mar 25, 2026

99.291Mean Accuracy

30

Mar 25, 2026

ADHD-200 (test)

NeuroGraph + 3DSC-TF

69.29Accuracy

30

Jun 30, 2026

95.83F1 Score

30

Jun 30, 2026

CNN with 11 layers

99.84Accuracy

30

Apr 7, 2026

Mutagenicity M0→M2

72Accuracy

30

Jun 2, 2026

79.91Accuracy

30

Apr 20, 2026

Forest River South Bound (train)

85.8Accuracy

30

Feb 26, 2026

Forest River South Bound (test)

84.2Accuracy

30

Feb 26, 2026

Park River North Bound (train)

Multi-Sensor Attention Network

96.9Accuracy

30

Feb 26, 2026

Park River North Bound (test)

Multi-Sensor Attention Network

95.5Accuracy

30

Feb 26, 2026

CPTAC k=5 positive samples

91.7Lung ST Performance

30

Feb 26, 2026

100Accuracy

30

Jun 8, 2026

93Accuracy

30

Jun 8, 2026

Temporal heterogeneity synthetic datasets

87.57Mean Accuracy

30

Feb 26, 2026

94.3Accuracy

30

Feb 26, 2026

97.3Accuracy

29

May 12, 2026

99Accuracy

29

May 12, 2026

Page 14 of 202

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