Table 4 Performance of our method and existing models.

From: ASD-SWNet: a novel shared-weight feature extraction and classification network for autism spectrum disorder diagnosis

Method

Accuracy

Precision

Recall

AUC

p-value

SVM

67.30

67.41

65.01

0.74

 < 0.01

HOFC

71.13

68.97

61.03

0.77

GCN

70.58

68.32

74.29

0.72

ASD-DiagNet

69.07

65.25

69.58

0.71

ASD-SAENet

71.05

72.67

64.76

0.73

Hi-GCN

72.63

65.16

70.54

0.79

ASD-SWNet

76.52

76.15

80.65

0.81

  1. Significant values are given in bold.
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