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. 2022 Mar 15;13:843425. doi: 10.3389/fmicb.2022.843425

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).