Table 6 Precision, recall and accuracy analyses.

From: Gaussian dual adjacency graph based spatial correlated and temporal time dependent traffic prediction in Bangalore City

Samples

Precision

Recall

Accuracy

GDAG-SCTT

LT-GCN [1]

Traffexplainer [2]

STGCN [3]

GDAG-SCTT

Traffexplainer [2]

LT-GCN [1]

STGCN [3]

GDAG-SCTT

LT-GCN [1]

Traffexplainer [2]

STGCN [3]

800

0.98

0.98

0.97

0.97

0.99

0.98

0.98

0.97

0.97

0.96

0.96

0.95

1600

0.97

0.91

0.84

0.82

0.96

0.86

0.83

0.8

0.95

0.87

0.77

0.72

2400

0.95

0.89

0.82

0.8

0.93

0.83

0.8

0.77

0.91

0.83

0.73

0.71

3200

0.93

0.87

0.8

0.78

0.91

0.81

0.78

0.75

0.88

0.8

0.7

0.68

4000

0.91

0.85

0.78

0.76

0.87

0.77

0.74

0.71

0.85

0.77

0.67

0.65

4800

0.9

0.84

0.77

0.73

0.85

0.75

0.72

0.69

0.87

0.79

0.77

0.75

5600

0.92

0.86

0.79

0.75

0.86

0.76

0.73

0.7

0.9

0.82

0.72

0.7

6400

0.94

0.88

0.81

0.78

0.88

0.78

0.75

0.72

0.92

0.84

0.74

0.72

7200

0.95

0.89

0.82

0.8

0.9

0.8

0.77

0.74

0.93

0.85

0.75

0.73

8000

0.97

0.91

0.84

0.81

0.92

0.82

0.79

0.76

0.95

0.87

0.77

0.75