TABLE 13. Performance of the CNN-Bi-LSTM for Classifying Whether a Virus Gene Contains Regulatory Motifs for the SARS CoV-2 Genes or Not.
| Sample size (%) | CNN-Bi-LSTM | |
|---|---|---|
| Sens(%) | 25 | 99.76 |
| 50 | 99.79 | |
| 75 | 99.99 | |
| 100 | 99.76 | |
| Spec(%) | 25 | 99.76 |
| 50 | 99.79 | |
| 75 | 99.99 | |
| 100 | 99.76 | |
| Prec(%) | 25 | 99.99 |
| 50 | 99.79 | |
| 75 | 99.99 | |
| 100 | 99.76 | |
| Acc(%) | 25 | 99.71 |
| 50 | 99.98 | |
| 75 | 99.99 | |
| 100 | 99.98 | |
| AUC ROC(%) | 25 | 98.9 |
| 50 | 99.85 | |
| 75 | 100.00 | |
| 100 | 100.00 | |
| MCC | 25 | 0.998 |
| 50 | 0.998 | |
| 75 | 0.999 | |
| 100 | 0.998 | |
| Cohen’s Kappa | 25 | 0.997 |
| 50 | 0.998 | |
| 75 | 0.999 | |
| 100 | 0.997 |