Table 3:
nRCBV low- vs high-grade thresholds and ROC analysis results
| Team/ Entry No. | Software Platform | Leakage Correction Used | LG vs HG (P Value) | Threshold | SN | SP | AUC |
|---|---|---|---|---|---|---|---|
| A1 | IB Neuro | Yes | 5.34E-06 | 1.605 | 0.861 | 0.846 | 0.889 |
| B1 | IB Neuro | Yes | 5.36E-06 | 1.605 | 0.861 | 0.846 | 0.889 |
| C1 | IB Neuro | Yes | 5.39E-06 | 1.605 | 0.861 | 0.846 | 0.889 |
| B2 | Matlab | Yes | 2.02E-06 | 1.315 | 0.972 | 0.769 | 0.892 |
| B3 | Matlab | Yes | 1.75E-06 | 1.330 | 0.972 | 0.769 | 0.896 |
| D1 | nordicICE | Yes | 3.30E-06 | 1.305 | 0.972 | 0.769 | 0.895 |
| D2 | nordicICE | Yes | 3.30E-06 | 1.305 | 0.972 | 0.769 | 0.895 |
| E1 | PGUI (LC) | Yes | 7.32E-06 | 1.615 | 0.861 | 0.846 | 0.892 |
| E2 | PGUI (C) | Yes | 1.14E-05 | 1.400 | 0.861 | 0.769 | 0.871 |
| E3 | PGUI (PM LC) | Yes | 1.18E-05 | 1.400 | 0.889 | 0.769 | 0.856 |
| D3 | Slicer | Yes | 1.08E-06 | 1.415 | 0.944 | 0.769 | 0.891 |
| F1 | FIAT | Yes | 2.50E-05 | 1.235 | 0.944 | 0.769 | 0.853 |
| G1 | McCBV | Yes | 1.26E-06 | 1.425 | 0.944 | 0.769 | 0.891 |
| A3 | IB Neuro | No | 1.55E-06 | 1.330 | 0.917 | 0.769 | 0.895 |
| B4 | IB Neuro | No | 1.56E-06 | 1.330 | 0.917 | 0.769 | 0.895 |
| E4 | PGUI | No | 6.94E-06 | 1.450 | 0.861 | 0.769 | 0.887 |
| E5 | PGUI | No | 5.67E-05 | 1.585 | 0.806 | 0.846 | 0.872 |
| E6 | PGUI | No | 1.19E-05 | 1.395 | 0.861 | 0.769 | 0.873 |
Note:—AUC indicates area under the curve; LG, low-grade; HG, high-grade.