Table 9.
Performance of the H1N1 models on H3N2 data and vice versa
| Protein | Sensitivity | Specificity | MCC | |
|---|---|---|---|---|
| H3N2 data - H1N1 models | HA | 1 | 0 | na |
| M1 | 1 | 0.895 | 0.941 | |
| M2 | 1 | 0.73 | 0.84 | |
| NA | 1 | 0 | na | |
| NP | 1 | 0.882 | 0.932 | |
| NS1 | 1 | 0.747 | 0.85 | |
| NEP | 1 | 0.648 | 0.78 | |
| PA-X | 0 | 1 | na | |
| PA | 0.021 | 0.93 | −0.11 | |
| PB1-F2 | 0.023 | 1 | 0.056 | |
| PB1 | 0.563 | 0.909 | 0.302 | |
| PB2 | 0.979 | 0.949 | 0.873 | |
| H1N1 data - H3N2 models | HA | 0 | na | na |
| M1 | 0.957 | 0.975 | 0.885 | |
| M2 | 0.987 | 0.766 | 0.804 | |
| NA | 1 | 0 | −0.004 | |
| NP | 0.364 | 0.984 | 0.251 | |
| NS1 | 0.365 | 0.993 | 0.237 | |
| NEP | 0.027 | 1 | 0.061 | |
| PA-X | 0.201 | 0.982 | 0.223 | |
| PA | 0.247 | 0.995 | 0.177 | |
| PB1-F2 | 0.991 | 0.804 | 0.832 | |
| PB1 | 0.992 | 0.877 | 0.888 | |
| PB2 | 0.956 | 0.951 | 0.786 |
Sensitivity is the ability to correctly predict human sequences and specificity is the ability to correctly predict avian sequences where 1 means perfect prediction and 0 means no correct prediction. Matthews correlation coefficient (MCC) value is a measure of how well the model performs overall where 1 means a perfect classification, 0 is for a prediction no better than random and −1 indicates a total disagreement between predictions and observations. “na” means the measure could not be calculated for the given model