Table 2 Comparison of F1-score for anomaly detection on UCSD Ped1 dataset.

From: Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection

Model

Precision (%)

Recall (%)

F1-Score (%)

Proposed Model (TGAT + TARNN)

89.7

91.5

90.6

Method3

80.3

85.6

82.9

Method9

75.1

88.3

81.1

Method14

82.4

83.9

83.1

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