Performance metrics of the algorithm in the detection of COVID-19 2 days prior to symptom onset class 1 represented an 8-day long training instance extracted from day 10 to day 2 before SO
| Sample | Class | Precision | Recall | F-score |
| Training set | 0 | 0.60 | 0.45 | 0.51 |
| 1 | 0.60 | 0.73 | 0.66 | |
| Test set | 0 | 0.50 | 0.36 | 0.42 |
| 1 | 0.54 | 0.68 | 0.60 |
Class 0 represented a training instance extracted from all other 8 days long consecutive measurements (eg, SO-11 to SO-3). The training set consisted of 40 days measurements from 66 participants with 70:30 train-test split. Sensitivity is reflected in the recall of class 1, while specificity is determined by the recall of class 0.
SO, symptom onset.