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Table 5 Training and validation time complexity comparison between spatial-frequency- sequential features and spatial-frequency features with respect to “Dataset 2a Subject 7” and “Dataset 2b Subject 8”

From: Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network

Datasets and subjects Spatial-frequency-sequential relationships Spatial-frequency features
   LSTM-RNN GRU-RNN CNN SVM-linear
Training time “Dataset 2a S7” 272.26 214.34 478.08 8.19
complexity (/s) “Dataset 2b S8” 169.80 148.11 342.00 22.83
Validation time “Dataset 2a S7” 1.89 1.49 3.32 2.01
complexity (/s) “Dataset 2b S8” 3.40 2.96 6.84 4.17