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[Preprint]. 2023 Aug 10:2023.08.09.551369. [Version 1] doi: 10.1101/2023.08.09.551369

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