Model | Accuracy | precision | Recall | F-measure | AUC | Error | ||
MAE | RMSE | MSLE | ||||||
RNN + Bahdanua attention | 99.38 | 99.38 | 99.38 | 99.38 | 99.37 | 0.006 | 0.078 | 0.002 |
RNN + Luong attention | 99.55 | 99.53 | 99.56 | 99.54 | 99.54 | 0.004 | 0.067 | 0.002 |
RNN + SDP attention | 99.28 | 99.04 | 99.53 | 99.28 | 99.27 | 0.007 | 0.084 | 0.003 |
RNN + SDP self-attention | 99.22 | 98.97 | 99.49 | 99.23 | 99.22 | 0.007 | 0.088 | 0.003 |
LSTM + Bahdanua attention | 99.39 | 99.21 | 99.56 | 99.39 | 99.38 | 0.006 | 0.078 | 0.002 |
LSTM + Luong attention | 99.61 | 99.55 | 99.67 | 99.61 | 99.60 | 0.003 | 0.062 | 0.001 |
LSTM + SDP attention | 99.54 | 99.48 | 99.61 | 99.54 | 99.54 | 0.004 | 0.067 | 0.002 |
LSTM + SDP self-attention | 99.55 | 99.59 | 99.5 | 99.55 | 99.54 | 0.004 | 0.067 | 0.002 |
GRU + Bahdanua attention | 99.45 | 99.55 | 99.36 | 99.46 | 99.46 | 0.005 | 0.073 | 0.002 |
GRU + Luong attention | 99.42 | 99.09 | 99.77 | 99.43 | 99.42 | 0.005 | 0.075 | 0.002 |
GRU + SDP attention | 99.42 | 99.33 | 99.51 | 99.42 | 99.41 | 0.005 | 0.076 | 0.002 |
GRU + SDP self-attention | 99.53 | 99.38 | 99.68 | 99.53 | 99.52 | 0.004 | 0.068 | 0.002 |