Model | Accuracy | precision | Recall | F-measure | AUC | Error | ||
MAE | RMSE | MSLE | ||||||
RNN + Bahdanua attention | 98.67 | 98.46 | 98.9 | 98.68 | 98.67 | 0.013 | 0.115 | 0.006 |
RNN + Luong attention | 99.50 | 99.66 | 99.33 | 99.50 | 99.50 | 0.004 | 0.070 | 0.002 |
RNN + SDP attention | 99.61 | 99.56 | 99.67 | 99.61 | 99.61 | 0.003 | 0.062 | 0.001 |
RNN + SDP self-attention | 99.11 | 98.69 | 99.56 | 99.12 | 99.11 | 0.008 | 0.094 | 0.004 |
LSTM + Bahdanua attention | 98.28 | 97.61 | 99.01 | 98.31 | 98.28 | 0.017 | 0.130 | 0.008 |
LSTM + Luong attention | 99.61 | 99.61 | 99.89 | 99.62 | 99.61 | 0.003 | 0.062 | 0.001 |
LSTM + SDP attention | 99.61 | 99.34 | 99.89 | 99.62 | 99.61 | 0.003 | 0.062 | 0.001 |
LSTM + SDP self-attention | 99.39 | 99.45 | 99.34 | 99.39 | 99.39 | 0.006 | 0.078 | 0.002 |
GRU + Bahdanua attention | 99.16 | 99.23 | 99.12 | 99.17 | 99.17 | 0.008 | 0.091 | 0.003 |
GRU + Luong attention | 99.61 | 99.67 | 99.56 | 99.61 | 99.61 | 0.003 | 0.062 | 0.001 |
GRU + SDP attention | 98.22 | 98.99 | 97.47 | 98.22 | 98.23 | 0.017 | 0.133 | 0.008 |
GRU + SDP self-attention | 99.16 | 99.56 | 98.79 | 99.17 | 99.17 | 0.008 | 0.091 | 0.003 |