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Log Anomaly Detection research benchmarks – Page 2 · SOTA2 Research

Log Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

0.999Precision

3

Feb 26, 2026

Honey5 (unobserved)

99.773Precision

3

Feb 26, 2026

BlueGene/L (train)

99.94Precision

1

Feb 26, 2026

99.17Precision

1

Feb 26, 2026

Zookeeper (train)

99.98Precision

1

Feb 26, 2026

99.77Precision

1

Feb 26, 2026

99.32Precision

1

Feb 26, 2026

99.82Precision

1

Feb 26, 2026

99.43Precision

1

Feb 26, 2026

Page 2 of 2

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