Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management
Figure 2
10-fold cross-validation curves for the choice of the “optimal” complexity parameters for LASSO (a), Ridge (b), and EN for (c). The MSE (mean value and one standard deviation) is represented as a function of the model complexity parameter for each method. The red crosses represent the values of the complexity parameter chosen according to the drop in the error curve. The vertical red dashed line is for a better visual identification of the complexity parameters.
