Table 3.
Machine learning models based on IgG glycans and/or inflammatory markers.
Lasso model | Training model data | Testing model | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sex | Selected predictor(s) | n | R2 | Adjusted R2 | MSE | n | MSE | SD | Low 95% CI |
Upper 95% CI |
n | MSE | SD | Low 95% CI |
Upper 95% CI |
|
Men | IgG glycans | G0 + G0FB + G1FB + A2 | 253 | 0.23 | 0.21 | 44.19 | 202 (80%) | 44.22 | 2.22 | 39.88 | 48.57 | 51 (20%) | 45.46 | 9.27 | 27.30 | 63.62 |
IgG glycans | G0 + G0FB + G1FB + A2 | 100 | 0.36 | 0.34 | 38.68 | |||||||||||
Inflammatory markers* | CXCL9 + Eotaxin | 100 | 0.02 | 0.00 | 59.42 | |||||||||||
IgG glycans + Inflammatory markers | G0 + G0FB + G1FB + A2 + CXCL9 + Eotaxin | 100 | 0.37 | 0.33 | 38.02 | |||||||||||
Women | IgG glycans | A1F + G2F | 235 | 0.31 | 0.31 | 36.25 | 188 (80%) | 36.40 | 1.78 | 32.91 | 39.88 | 47 (20%) | 36.25 | 7.27 | 22.00 | 50.49 |
IgG glycans | A1F + G2F | 100 | 0.25 | 0.23 | 32.16 | |||||||||||
Inflammatory markers* | CXCL9 + Eotaxin | 100 | 0.23 | 0.22 | 32.82 | |||||||||||
IgG glycans + Inflammatory markers | A1F + G2F + CXCL9 + Eotaxin | 100 | 0.41 | 0.38 | 25.32 |
Pre-selected
MSE = Mean Squared Error
SD = Standard Deviation