Journal of Cloud Computing

Advances, Systems and Applications

Table 3 Result of various recurrent neural networks with the same parameters

From: Low-cost and high-performance abnormal trajectory detection based on the GRU model with deep spatiotemporal sequence analysis in cloud computing

Model	Precision	Accuracy	Recall	F1 Score	Cost(s)
RNN	0.946429	0.647059	0.810526	0.719626	44
GRU	0.993452	1	0.922807	0.959854	101
LSTM	0.983333	0.916364	0.884211	0.9	81
RNN-GRU	0.956845	0.691257	0.887719	0.777266	56
RNN-LSTM	0.95506	0.695906	0.835088	0.759171	50
GRU-LSTM	0.978571	0.861017	0.891228	0.875862	96

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