Table 3 The summary of primary discriminant screening models for virus shedding of Covid-19 infection
| Â | Discriminant models for postponed viral shedding time | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Â | Training set with cross-validation | Test set with cross-validation | ||||||||
| Â | Logistic regression | Linear discriminant analysis | K-nearest neighbor | Support vector machine | Decision tree | Logistic regression | Linear discriminant analysis | K-nearest neighbor | Support vector machine | Decision tree |
AUC | 73.0 | 59.1 | 35.7 | 45.0 | 40.9 | 73.0 | 57.9 | 40.6 | 44.6 | 39.0 |
Sensitivity, % | 72.7 | 62.2 | 45.9 | 53.9 | 39.5 | 78.6 | 59.3 | 50.4 | 30.9 | 42.0 |
Specificity, % | 73.3 | 36.4 | 39.9 | 40.7 | 35.5 | 66.7 | 39.4 | 49.9 | 49.7 | 25.0 |
Positive predictive value, % | 76.9 | 60.1 | 48.9 | 50.3 | 25.2 | 73.3 | 50.4 | 45.2 | 41.5 | 32.9 |
Negative predictive value, % | 68.8 | 43.4 | 30.4 | 39.9 | 30.4 | 72.7 | 40.0 | 49.8 | 55.4 | 29.3 |
Accuracy | – | – | – | – | – | 73.2 | 50.3 | 60.3 | 30.4 | 20.3 |
Recall rate | – | – | – | – | – | 78.6 | 51.3 | 45.0 | 34.9 | 29.9 |