Fig. 4.

The LASSO logistic regression model for radiomics feature selection. a The tuning parameter (λ) selection was based on a tenfold cross-validation in the LASSO model. The minimum criteria and one standard error of the minimum criteria (1-SE criteria) were used to place the vertical lines at the optimum values. A lambda of 0.068, with log(λ) = − 2.688 was chosen (1-SE criteria) for selecting features. b The LASSO coefficient profiles. The value selected by cross-validation was applied for drawing the vertical line and nine nonzero coefficients were shown