Analysis of classification errors: training setsa
| MS vs HC | MS vs OND | OND vs HC | |
|---|---|---|---|
| Sen % | 70.37 | 70.37 | 45 |
| 95% CI (Sen) | 58.19–82.55 | 58.19–82.55 | 23.20–66.80 |
| Spe % | 70.97 | 55 | 70.97 |
| 95% CI (Spe) | 54.99–86.95 | 33.20–76.80 | 54.99–86.95 |
| FP % | 29.03 | 45 | 29.03 |
| 95% CI (FP) | 13.03–45.01 | 23.20–66.80 | 13.05–45.01 |
| FN % | 29.63 | 29.63 | 55 |
| 95% CI (FN) | 17.45–41.81 | 17.45–41.81 | 33.20–76.80 |
| PPV % | 80.85 | 80.85 | 50 |
| 95% CI (PPV) | 69.60–92.10 | 69.60–92.10 | 26.90–73.10 |
| NPV % | 57.89 | 40.74 | 67 |
| 95% CI (NPV) | 42.20–73.59 | 22.21–59.27 | 50.58–82.75 |
| OR | 5.81 | 2.90 | 2 |
| 95% CI (OR) | 2.20–15.33 | 1.01–8.34 | 0.62–6.47 |
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 observed (ie, training) groups.