Table 2.
ROC curve | Performance of specific thresholds | |||||
---|---|---|---|---|---|---|
|
|
|||||
Area | 95% C.I. | Accuracya | Sensitivityb | Specificityc | ||
Daily parameter | T0 | |||||
Range | 0.990 | (0.989, 0.992) | 11 °C | 0.95 | 0.95 | 0.96 |
Maximum | 0.989 | (0.987, 0.991) | 26 °C | 0.96 | 0.95 | 0.97 |
Mean | 0.980 | (0.977, 0.983) | 19 °C | 0.95 | 0.95 | 0.93 |
Coefficient of variation | 0.959 | (0.956, 0.962) | 17% | 0.90 | 0.90 | 0.90 |
Minimum | 0.869 | (0.861, 0.877) | 16 °C | 0.72 | 0.70 | 0.92 |
Accuracy = Sensitivity × (% use days detected with algorithm) + Specificity (% non-use days detected with algorithm).
Sensitivity = (number of days detected as in-use by both the algorithm and the T0)/(number of days detected as in-use by the algorithm).
Specificity = (number of days detected as non-use by both the algorithm and the T0)/(number of days detected as non-use by the algorithm).