TABLE 5.
Performance comparison of RNN and CNN-RNN architectures with or without the attention mechanism.
Species | Models | ACC (%) | F-value (%) | Recall (%) | PRE (%) | MCC |
A. thaliana | RNN | 85.0 | 85.1 | 86.6 | 83.7 | 0.701 |
RNN_Attention | 84.6 | 85.1 | 87.1 | 93.2 | 0.692 | |
CNN-RNN | 83.9 | 84.3 | 86.1 | 83.9 | 0.678 | |
CNN-RNN_Attention | 83.9 | 83.8 | 84.0 | 83.7 | 0.678 | |
C. elegans | RNN | 89.3 | 89.7 | 93.1 | 86.5 | 0.788 |
RNN_Attention | 89.3 | 89.5 | 91.4 | 87.6 | 0.788 | |
CNN-RNN | 89.0 | 89.4 | 92.3 | 86.5 | 0.783 | |
CNN-RNN_Attention | 89.4 | 89.4 | 90.3 | 88.6 | 0.789 | |
D. melanogaster | RNN | 85.9 | 85.8 | 87.1 | 84.8 | 0.720 |
RNN_Attention | 87.0 | 87.4 | 89.6 | 85.3 | 0.742 | |
CNN-RNN | 86.8 | 87.0 | 88.7 | 85.3 | 0.736 | |
CNN-RNN_Attention | 87.4 | 87.7 | 89.6 | 86.0 | 0.749 |
The bold values highlight the best methods of the species (i.e., A. thaliana, C. elegans, and D. melanogaster).