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Classification research benchmarks – Page 72 · SOTA2 Research

Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

90.1Accuracy

10

Mar 4, 2026

EAST-ELM640 (test)

90.1Accuracy

10

Mar 4, 2026

PatchCamelyon (PCAM)

52.85Robust Accuracy

10

Feb 27, 2026

44.1F1 (K=3)

10

Feb 27, 2026

81.82HM

10

Feb 26, 2026

CC-CCII Average across ratios

91.35Accuracy

10

Feb 26, 2026

CC-CCII 100% ratio (train)

93.59Accuracy

10

Feb 26, 2026

CC-CCII 50% ratio (train)

91.86Accuracy

10

Feb 26, 2026

CC-CCII (10% train ratio)

88.68Accuracy

10

Feb 26, 2026

RMB-CLE-via-LGBM

0.591Recall

10

Feb 26, 2026

RMB-CLE-via-LGBM

0.774Recall

10

Feb 26, 2026

RMB-CLE-via-LGBM

79.7Recall

10

Feb 26, 2026

RMB-CLE-via-LGBM

79.6Recall

10

Feb 26, 2026

Landmine real-world (test)

RMB-CLE-via-LGBM

94.6Accuracy

10

Feb 26, 2026

Bank real-world (test)

RMB-CLE-via-LGBM

90.6Accuracy

10

Feb 26, 2026

Avila real-world (test)

RMB-CLE-via-LGBM

87.5Accuracy

10

Feb 26, 2026

Adult Race real-world (test)

RMB-CLE-via-LGBM

87.3Accuracy

10

Feb 26, 2026

Adult-Gender real-world (test)

RMB-CLE-via-LGBM

87.2Accuracy

10

Feb 26, 2026

Digit-five Average

80.9ACC

10

Feb 26, 2026

Digit-five up → mm, mt, sv, sy

75.5Accuracy

10

Feb 26, 2026

Digit-five sy → mm, mt, sv, up

0.856Accuracy

10

Feb 26, 2026

Digit-five sv → mm, mt, up, sy

79.7ACC

10

Feb 26, 2026

Digit-five mm → mt, sv, up, sy

78.5Accuracy

10

Feb 26, 2026

NMNIST bS=1, bT=10 1.0 (test)

96.5Accuracy

10

Feb 26, 2026

NMNIST (bS=1, bT=4) 1.0 (test)

97.7Accuracy

10

Feb 26, 2026

Page 72 of 202

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