Table 3.
Performances of the SVM model, combination nomogram and MR-reported LNM
| Models | Training group | Validation group | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Accuracy | AUC (95%CI) | Sensitivity | Specificity | S. E. | Accuracy | AUC (95%CI) | Sensitivity | Specificity | S. E. | ||
| SVM score | 73.58% | 0.788 (0.698 - 0.862) | 65.96% | 79.66% | 0.0441 | 69.05% | 0.787 (0.634 - 0.898) | 52.63% | 91.30% | 0.0695 | |
| Combination model | 72.64% | 0.842 (0.758 - 0.906) | 89.36% | 57.63% | 0.0387 | 78.57% | 0.870 (0.730 - 0.953) | 89.47% | 69.57% | 0.0540 | |
| MR-reported LNM | 66.04% | 0.658 (0.560 - 0.748) | 63.83% | 67.80% | 0.0469 | 66.67% | 0.673 (0.511 - 0.809) | 73.68% | 60.87% | 0.0735 | |
Note: SVM, support vector machine; S.E., standard error; CI, confidence interval.