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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