Table 9. LSTMDD model’s results on datasets.

Dataset	Accuracy	Precision	Recall	F-score	FPR	FNR
Sine	0.85	0.85	0.85	0.85	0.15	0.13
Stagger	0.76	0.78	0.76	0.75	0.39	0.09
Mixed	0	0	0	0	0	0
Hyper	86	0.86	0.86	0.85	0.09	0.18
CPU google	0.98	1	0.98	0.98	0.019	0.0004
Memory google	0.98	0.97	0.99	0.98	0.028	0.003
Disk google	0.98	0.98	0.99	0.98	0.011	0.0001