Table 3.
Performance of QSAR models obtained for each viral dataset using classification mode of machine learning
| S. no. | Virus | Training/Testing (10‐fold) | Validation | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Sensitivity | Specificity | Accuracy | MCC | Sensitivity | Specificity | Accuracy | MCC | ||
| 1 | HIV | 94.30 | 96.40 | 95.10 | 0.91 | 88.10 | 82.30 | 86.10 | 0.70 |
| 2 | HCV | 96.90 | 96.40 | 96.60 | 0.93 | 86.61 | 87.20 | 86.80 | 0.73 |
| 3 | HBV | 87.10 | 81.60 | 85.80 | 0.70 | 87.20 | 80.40 | 84.30 | 0.69 |
| 4 | HHV | 93.40 | 92.30 | 93.50 | 0.89 | 87.10 | 91.30 | 88. 6 | 0.77 |
| 5 | General (26 viruses) | 88.30 | 82.20 | 85.70 | 0.71 | 81.70 | 82.10 | 81.90 | 0.64 |
This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.