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Anomaly Detection research benchmarks – Page 38 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

IOPS univariate

33.5VUS-PR

8

Mar 13, 2026

88AUROC

8

Feb 27, 2026

94.9AUROC

8

Feb 27, 2026

SMKC holdout-C, anomaly rate 0.20 synthetic (test)

0.619AUPRC

8

Feb 26, 2026

SMKC holdout-C, anomaly rate 0.10 synthetic (test)

0.549AUPRC

8

Feb 26, 2026

SMKC holdout-C anomaly rate 0.05 synthetic (test)

50.4AUPRC

8

Feb 26, 2026

SMKC holdout-C, anomaly rate 0.01 synthetic (test)

SMKC-Recon(HYB)

46.3AUPRC

8

Feb 26, 2026

99.6AUROC

8

Feb 27, 2026

95.5AUROC

8

Feb 27, 2026

Telemetry dataset synthetic (Layer 1)

QML + Random Forest

100Accuracy

8

Feb 26, 2026

53.2Accuracy

8

Feb 26, 2026

Synthetic dataset 2024 (test)

90Precision

8

Feb 26, 2026

CTU-13 Scenario 13 (test)

34.3F1-Score

8

Feb 26, 2026

CTU-13 Scenario 10 (test)

0.711F1-Score

8

Feb 26, 2026

CTU-13 Scenario 1 (test)

33.4F1 Score

8

Feb 26, 2026

CIC-IDS 2017 (test)

89.9F1-Score

8

Feb 26, 2026

ISCX 2012 (test)

96.4F1-Score

8

Feb 26, 2026

UNSW-NB15 (test)

93.9F1-Score

8

Feb 26, 2026

97F1 Score

8

Feb 26, 2026

99.7Image AUROC (Avg)

8

Feb 26, 2026

MVTec-AD 4-shot (test)

97.7AUROC

8

Feb 26, 2026

MVTec-AD 2-shot (test)

96.9AUROC

8

Feb 26, 2026

60.5AUPRC

8

Feb 26, 2026

MVTec-AD standard (test)

99.8I-AUROC

8

Feb 26, 2026

98.7I-AUROC

8

Feb 26, 2026

Page 38 of 62

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MVTec AD MNIST CIFAR Gaussian mixture synthetic dataset SMAP

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