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Time-Series Anomaly Detection on SWAT (F1, AUROC, AUPR, VUS-ROC, VUS-PR)

0.831AUROCHBOS
0.199720.363610.52750.69139Oct 16, 2024Jan 15, 2025Apr 16, 2025Jul 16, 2025Oct 15, 2025Jan 14, 2026Apr 15, 2026

Evaluation results

MethodLinks
HBOS2024.100.831————0.65
ASTERModel Category=LLM-based2026.040.8230.6950.5420.7570.506—
PCA2024.100.819————0.708
TranADModel Category=Deep Learning-based2026.040.8180.3210.7290.6990.52—
AE2024.100.817————0.738
ChronosModel Category=Pre-Trained Models2026.040.8030.6130.410.8140.449—
Ocsvm2024.100.657————0.703
DualTF2024.100.567————0.695
DLin2024.100.521————0.736
DC2024.100.501————0.696
TFAD2024.100.5————0.686
ATrans2024.100.405————0.696
IF2024.100.346————0.681
CATCH2024.100.345————0.755
DAGMMModel Category=Deep Learning-based2026.040.290.0730.0820.3280.25—
TimesNetModel Category=Deep Learning-based2026.040.2880.0770.1070.3920.169—
TsNet2024.100.288————0.793
TimerModel Category=Pre-Trained Models2026.040.2860.1440.1190.3990.172—
MomentModel Category=Pre-Trained Models2026.040.2630.1320.1090.370.161—
Modern2024.100.244————0.728
TimesFMModel Category=Pre-Trained Models2026.040.2420.0990.0860.3440.121—
iTrans2024.100.242————0.718
Patch2024.100.242————0.716
LLMMixerModel Category=LLM-based2026.040.240.0980.0860.3420.12—
UniTimeModel Category=LLM-based2026.040.2340.0630.0820.3350.115—
NLin2024.100.231————0.715
GPT4TSModel Category=LLM-based2026.040.2240.0340.0810.3220.112—
CALFModel Category=LLM-based2026.04—0.075————
CATCH2025.05———0.4620.241—
CCM-TAD2025.05———0.7580.779—
Sen.H.(On)2025.05———0.8280.729—
TimesNet2025.05———0.5410.223—
xLSTMAD2025.05———0.6250.469—