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Table 3 Class-wise and overall accuracies for the 1-Layer, 2-Layer, and 3-Layer LSTM RNN classifiers and the hybrid LSTM-FCN classifier

From: Evaluating deep learning EEG-based mental stress classification in adolescents with autism for breathing entrainment BCI

Average accuracy (%)

1-Layer LSTM (%)

2-Layer LSTM (%)

3-Layer LSTM (%)

LSTM-FCN (%)

Stressor (%)

63.95

90.82

74.75

57.19

Unguided breathing (%)

62.89

91.19

70.43

57.52

Guided breathing (%)

80.09

94.57

67.76

72.32

Baseline (%)

73.53

96.50

76.07

64.84

Average (%)

70.12

93.27

72.26

62.97

  1. Highest classification accuracy are highlighted in bold