Model | Accuracy | precision | Recall | F-measure | AUC | Error | ||
MAE | RMSE | MSLE | ||||||
RNN + Bahdanua attention | 99.79 | 99.6 | 100 | 99.8 | 99.79 | 0.002 | 0.045 | 0.0009 |
RNN + Luong attention | 99.78 | 99.56 | 100 | 99.78 | 99.77 | 0.002 | 0.046 | 0.001 |
RNN + SDP attention | 99.78 | 99.57 | 100 | 99.78 | 99.77 | 0.002 | 0.046 | 0.001 |
RNN + SDP self-attention | 99.77 | 99.54 | 100 | 99.77 | 99.76 | 0.002 | 0.048 | 0.001 |
LSTM + Bahdanua attention | 99.74 | 99.48 | 100 | 99.74 | 99.73 | 0.002 | 0.051 | 0.001 |
LSTM + Luong attention | 99.78 | 99.57 | 100 | 99.78 | 99.77 | 0.002 | 0.046 | 0.001 |
LSTM + SDP attention | 99.75 | 99.51 | 100 | 99.76 | 99.74 | 0.002 | 0.049 | 0.001 |
LSTM + SDP self-attention | 99.97 | 99.94 | 100 | 99.97 | 99.97 | 0.0002 | 0.017 | 0.0001 |
GRU + Bahdanua attention | 99.75 | 99.51 | 100 | 99.76 | 99.74 | 0.002 | 0.049 | 0.001 |
GRU + Luong attention | 99.77 | 99.54 | 100 | 99.77 | 99.76 | 0.002 | 0.048 | 0.001 |
GRU + SDP attention | 99.91 | 99.83 | 100 | 99.91 | 99.91 | 0.0008 | 0.029 | 0.0004 |
GRU + SDP self-attention | 99.97 | 99.94 | 100 | 99.97 | 99.97 | 0.0002 | 0.017 | 0.0001 |