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. 2022 Feb 3;13(3):1829–1840. doi: 10.1007/s13204-021-02063-4

Table 3.

Evaluation metrics obtained for RNN, LSTM, RNN + LSTM and Stacked RNN

Evaluation metrics Simple RNN LSTM Model RNN + LSTM Stacked RNN
Accuracy 0.77 0.84 0.89 0.97
MSE 0.23 0.15 0.11 0.03
F1-score 0.77 0.85 0.90 0.94
Kappa score 0.54 0.65 0.83 0.90