Table 6.
Statistical results of different classification models.
| Model | Sp (%) | Se (%) | GMean (%) | p value | Acc (%) | AUC | NPV = 95% | p value | |
|---|---|---|---|---|---|---|---|---|---|
| TPR (%) | FPR (%) | ||||||||
| Explicit [6] | 83.16 ± 4.20 | 81.66 ± 4.20 | 82.32 ± 1.42 | 0.0039 | 83.40 ± 1.68 | 0.8993 ± 0.02 | 22.74 ± 33.90 | 2.95 ± 4.40 | 0.0156 |
| Explicit[a] | 84.16 ± 4.28 | 82.06 ± 4.27 | 83.02 ± 1.44 | 0.1641 | 84.16 ± 1.76 | 0.9073 ± 0.01 | 30.53 ± 36.86 | 3.96 ± 4.78 | 0.0156 |
| Implicit[a] | 88.29 ± 3.00 | 78.15 ± 4.30 | 83.01 ± 2.00 | 0.0039 | 84.68 ± 1.96 | 0.9079 ± 0.02 | 25.16 ± 37.82 | 3.26 ± 4.90 | 0.0078 |
| Fusion | 86.86 ± 3.51 | 80.23 ± 4.49 | 83.40 ± 1.80 | — | 84.84 ± 1.82 | 0.9117 ± 0.02 | 36.11 ± 34.34 | 4.30 ± 4.74 | — |
[a]The classification models are obtained by “explicit training” and “implicit training,” respectively, and the results are based on subview prediction.