Table 2.
Accuracy of the models for predicting PPGRs and peak postprandial glycaemic levels based on clinical data with and without the addition of bacterial features
| GLUmax | PPGR (iAUC120) | |||
|---|---|---|---|---|
| Without microbiome | With microbiome | Without microbiome | With microbiome | |
| MAE | 0.49 | 0.46 | 0.30 | 0.30 |
| MSE | 0.38 | 0.33 | 0.15 | 0.15 |
| RMSE | 0.62 | 0.57 | 0.39 | 0.39 |
| Pearson R | 0.62 | 0.66 | 0.71 | 0.72 |
| R2 | 0.34 | 0.42 | 0.50 | 0.52 |
CGM continuous glucose monitoring, GLUmax peak postprandial glycaemic level, PPGR postprandial glycemic response, iAUC120 incremental area under glucose curve during 120 min after meal, MAE mean absolute error, MSE mean squared error, RMSE root mean squared error, R coefficient of correlation for predicted and observed values, R2 coefficient of determination.