Table 3.
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 |
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 |