Analysis of classification errors: out-of-sample setsa
| MS vs HC | MS vs OND | OND vs HC | |
|---|---|---|---|
| Sen % | 78.85 | 91.11 | 40 |
| 95% CI (Sen) | 67.75–89.95 | 82.80–99.43 | 9.64–70.36 |
| Spe % | 59.26 | 35.29 | 59.26 |
| 95% CI (Spe) | 40.73–77.79 | 12.58–58.01 | 40.73–77.79 |
| FP % | 40.74 | 64.71 | 40.74 |
| 95% CI (FP) | 22.21–59.27 | 41.99–87.42 | 22.21–59.27 |
| FN % | 21.15 | 8.89 | 60 |
| 95% CI (FN) | 10.05–32.25 | 0.57–17.20 | 29.64–90.36 |
| PPV % | 78.85 | 78.85 | 26.67 |
| 95% CI (PPV) | 67.75–89.95 | 67.75–89.95 | 4.29–49.05 |
| NPV % | 59.26 | 60 | 72.73 |
| 95% CI (NPV) | 40.73–77.79 | 29.64–90.36 | 54.12–91.34 |
| OR | 5.42 | 5.59 | 0.97 |
| 95% CI (OR) | 1.95–14.97 | 1.34–23.34 | 0.22–4.26 |
Note:—Sen indicates sensitivity; Spe, specificity; FP, false-positive; FN, false-negative; NPV, negative predictive value; PPV, positive predictive value.
↵a The columns refer to each comparison between the groups in the independent samples.