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Table 4 Performance of transformer model for EEG signals with eyes open on different methods for three class (ADHD, MDD, and SMC) classification

From: Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals

Decision

Method

Accuracy

F1-score

Precision

Recall

Window-level

Trans + CCE

71.87

66.57

65.57

71.56

Trans + Focal Loss (\(\gamma\) = 2)

71.43

62.10

68.09

59.67

Trans + Focal Loss (\(\gamma\) = 0.5)

75.11

63.87

82.62

60.25

Trans + WCCE

67.86

64.01

61.73

72.42

Patient-level

Trans + CCE

68.75

60.01

60.37

61.87

Trans + Focal Loss (\(\gamma\) = 2)

73.44

63.96

74.84

60.36

Trans + Focal Loss (\(\gamma\) = 0.5)

76.56

65.75

91.07

60.71

Trans + WCCE

70.31

67.04

64.78

74.39

  1. The best performance is in bold