TABLE 3.
Performance statistics for the training/testing cross-validated permuted and final models generated from breast milk glycans to predict GDM in study participants1
| Model | LV | Q2 | RMSEP | AUROCC |
| O-PLS-DA | 2 | 0.62 ± 0.1 | 0.28 ± 0.1 | 0.99 ± 0.02 |
| Permuted2 | 2 | −0.52 ± 0.4 | 0.53 ± 0.1 | 0.54 ± 0.3 |
1
Values are means ± SDs. AUROCC, area under the receiver operating characteristic curve; GDM, gestational diabetes mellitus; LV, latent variable; O-PLS-DA, orthogonal signal corrected partial least-squares discriminant analysis; Q2, cross-validated model fit; RMSEP, root mean squared error of prediction.
2
Randomly permuted class label models, n = 100.