FIGURE 4.

Feature selection and modeling for the radiomics signature using the least absolute shrinkage and selection operator (LASSO) algorithm. (a) The optimal tuning parameter (Lambda) in the LASSO model was selected using 10‐fold cross‐validation and the 1 standard error rule. Two lambdas (the optimal value and the value that the simplest model obtained within one standard error of the optimal value) were obtained and drawn as two vertical dashed line. The optimal Lambda value of 0.023 with log (Lambda) = −3.781was selected for modeling and 10 nonzero coefficients were chosen; (b) LASSO coefficient profiles of the features compared to the lambda values. According to the 10‐fold cross‐validation in (a), the vertical line of the optimal lambda was drawn. The eight features with non‐zero coefficients were selected for radiomics signature construction