Anomaly Detection on MSL (test) (Precision, Recall, F1) benchmark leaderboard · SOTA2 Research

Anomaly Detection on MSL (test) (Precision, Recall, F1)

89.66PrecisionPeri-midFormer

Evaluation Results

Method
Peri-midFormer2024.11	89.66	75.31	81.83
TimesNet2024.11	89.54	75.36	81.84
PatchTST2024.11	88.34	70.96	78.7
OmniAnomaly2026.06	85.8	92.6	89.1
Reformer2024.11	85.51	83.31	84.4
ETSformer2024.11	85.13	84.93	85.03
DLinear2024.11	84.34	85.42	84.88
Pyraformer2024.11	83.81	85.93	84.86
LightTS2024.11	82.4	75.78	78.95
GPT4TS2024.11	82	82.91	82.45
Informer2024.11	81.77	86.48	84.06
Anomaly2024.11	79.61	87.37	83.31
Autoformer2024.11	77.27	80.92	79.05
FEDformer2024.11	77.14	80.07	78.57
Single-entity HTM2026.06	75.6	88.4	81.5
LogTrans2024.11	73.05	87.37	79.57
Transformer2024.11	71.57	87.37	78.68
Non-stationary Transformer (Station)2024.11	68.55	89.14	77.5