Figure 2.
Feature selection using a least absolute shrinkage and selection operator (LASSO) regression model. (a) Tuning parameter (λ) selection for the LASSO model involved fivefold cross-validation using the minimal criteria. Dotted vertical lines were drawn at the optimal values; one standard error was added to each criterion to yield the 1-SE criteria. (b) The LASSO coefficients of the 15 features.