Table 4.

Overall Performance Comparison on Synthetic Datasets. The bold font indicates best performance under each metric.

Method	Precision	Recall	F1	AUC	DL(s)	FAR
LogCluster	0.831	0.812	0.821	0.867	2.45	0.092
DeepLog	0.856	0.831	0.843	0.892	2.31	0.089
LogAnomaly	0.872	0.845	0.858	0.901	2.15	0.083
LogRobust	0.881	0.859	0.870	0.913	1.98	0.076
LogBERT	0.889	0.867	0.878	0.921	1.89	0.072
LogGPT	0.895	0.873	0.884	0.925	1.82	0.070
LogGNN	0.892	0.871	0.881	0.923	1.85	0.071
LogGraph	0.898	0.877	0.887	0.928	1.79	0.068
TLAN	0.912	0.894	0.903	0.937	1.63	0.062