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Anomaly Detection research benchmarks – Page 26 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

69.8AUC

11

Mar 4, 2026

78.6AUC

11

Mar 4, 2026

74.5AUC (%)

11

Mar 4, 2026

81.1AUC

11

Mar 4, 2026

80AUC

11

Mar 4, 2026

73.2AUC

11

Mar 4, 2026

81.3AUC (%)

11

Mar 4, 2026

0.923AUROC

11

Feb 26, 2026

Arrhy Real-world (full stream)

84.5G-mean

11

Feb 26, 2026

Forest Real-world (full stream)

0.817G-mean

11

Feb 26, 2026

MNIST-multi Real-world (full stream)

82.5G-mean

11

Feb 26, 2026

MNIST-23 Real-world (full stream)

0.799G-mean

11

Feb 26, 2026

MNIST-01 Real-world (full stream)

0.747G-mean

11

Feb 26, 2026

Fraud Synthetic (full stream)

0.821G-mean

11

Feb 26, 2026

Vib Synthetic (full stream)

99G-mean

11

Feb 26, 2026

Circle Synthetic (full stream)

0.76G-mean

11

Feb 26, 2026

Sine Synthetic (full stream)

0.808G-Mean

11

Feb 26, 2026

Sea Synthetic (full stream)

0.88G-mean

11

Feb 26, 2026

Arrhy Real-world

99.1Specificity

11

Feb 26, 2026

Forest Real-world

98.9Specificity

11

Feb 26, 2026

MNIST-multi Real-world

99.8Specificity

11

Feb 26, 2026

MNIST-23 Real-world

99.3Specificity

11

Feb 26, 2026

MNIST 01 Real-world

0.997Specificity

11

Feb 26, 2026

Fraud Synthetic

99.8Specificity

11

Feb 26, 2026

99.4Specificity

11

Feb 26, 2026

Page 26 of 62

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