Table 3 Performance metrics of siena dataset on 1D-ResCNN model.
Patient ID | Accuracy (%) | Sensitivity (%) | Specificity (%) | FPR | F1-score (%) |
|---|---|---|---|---|---|
P00 | 99.35 | 99.9 | 100 | 0.001 | 99.4 |
P01 | 100 | 100 | 99.77 | 0.0 | 99.8 |
P05 | 99.8 | 99.87 | 99.79 | 0.0025 | 99.75 |
P06 | 99.92 | 99.88 | 100 | 0.0012 | 99.9 |
P07 | 100 | 100 | 100 | 0.0 | 100 |
P08 | 99 | 99.95 | 100 | 0.002 | 99.25 |
P11 | 99.95 | 99.9 | 100 | 0.0008 | 99.93 |
P12 | 99.96 | 100 | 99.95 | 0.0015 | 99.95 |
P14 | 99.5 | 99.85 | 100 | 0.0022 | 99.45 |
P17 | 100 | 100 | 100 | 0.0 | 100 |
Avg | 99.75 | 99.94 | 99.95 | 0.0011 | 99.74 |