Table 4 10-fold cross-validation performance on optimized parameters for prediction models.
From: Predicting host tropism of influenza A virus proteins using random forest
Model | Accuracy | Sensitivity | Specificity | AUC | MCC |
|---|---|---|---|---|---|
HA | 98.62 | 0.986 | 0.993 | 0.998 | 0.972 |
M1 | 97.66 | 0.977 | 0.987 | 0.985 | 0.950 |
M2 | 96.73 | 0.967 | 0.973 | 0.989 | 0.931 |
NA | 98.35 | 0.984 | 0.991 | 0.996 | 0.967 |
NP | 97.51 | 0.975 | 0.979 | 0.992 | 0.945 |
NS1 | 97.48 | 0.975 | 0.981 | 0.992 | 0.946 |
NS2 | 96.57 | 0.966 | 0.971 | 0.980 | 0.916 |
PA | 98.21 | 0.982 | 0.992 | 0.995 | 0.960 |
PB1 | 97.26 | 0.973 | 0.990 | 0.992 | 0.942 |
PB1-F2 | 97.99 | 0.980 | 0.987 | 0.992 | 0.945 |
PB2 | 98.29 | 0.983 | 0.992 | 0.995 | 0.964 |
Combined | 99.72 | 0.997 | 0.999 | 0.999 | 0.994 |