MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern

Table 2

Performance of our model and baselines.

Dataset	MSL			SMAP			SMD
	Precision	Recall	F1	Precision	Recall	F1	Precision	Recall	F1
LSTM-NDT	0.5944	0.5374	0.5640	0.8965	0.8846	0.8905	0.5684	0.6438	0.6037
LSTM-VAE	0.5257	0.9546	0.6780	0.8551	0.6366	0.7298	0.7922	0.7075	0.7842
DAGMM	0.5412	0.9934	0.7007	0.5845	0.9058	0.7105	0.5835	0.9042	0.7093
OmniAnomaly	0.8867	0.9117	0.8989	0.7416	0.9776	0.8434	0.8334	0.9449	0.8857
MTAD-TF	0.9043	0.8988	0.9015	0.9779	0.8192	0.8916	0.9045	0.9048	0.8940