Anomaly Detection on MBA benchmark leaderboard · SOTA2 Research

Anomaly Detection on MBA

98.85AUCTranAD

Evaluation Results

Method	Links
TranAD2022.01		98.85	95.69	100	97.8
DAGMM2022.01		98.58	94.75	99	96.83
MAD-GAN2022.01		98.36	93.96	100	96.89
MSCRED2022.01		97.99	92.72	100	96.23
LSTM-NDT2022.01		97.8	92.07	97.18	94.56
MTAD-GAT2022.01		97.21	90.18	100	94.84
TranAD2022.01		97.18	—	—	96.17
USAD2022.01		97.01	89.53	99.89	94.43
USAD2022.01		96.97	—	—	94.25
MTAD-GAT2022.01		96.88	—	—	94.25
DAGMM2022.01		96.71	—	—	93.96
GDN2022.01		96.71	—	—	93.16
CAE-M2022.01		96.61	84.42	99.97	91.54
LSTM-NDT2022.01		96.17	—	—	92.82
CAE-M2022.01		96.16	—	—	90.02
OmniAnomaly2022.01		95.7	85.61	100	92.25
MAD-GAN2022.01		95.5	—	—	91.92
GDN2022.01		95.28	88.32	98.92	93.32
MSCRED2022.01		94.99	—	—	91.08
OmniAnomaly2022.01		94.07	—	—	92.17
MERLIN2022.01		78.28	98.46	49.13	65.55
MERLIN2022.01		78.28	—	—	65.55