Fig. 1

The ultrasonic elasticity index selected using LASSO logistic regression and the accuracy of the prediction model. A, LASSO coefficient profiles of the 18 elastic ultrasound indexes. The dotted vertical line was plotted at the value selected using 5-fold cross-validation in B. The nine resulting features with nonzero coefficients are indicated in the plot. B, Selection of the tuning parameter (λ) in the LASSO model via 10-fold cross-validation based on minimum criteria. Binomial deviances from the LASSO regression cross-validation procedure were plotted as a function of log(λ). The y-axis indicates binomial deviances. The lower x-axis indicates the log(λ). Numbers along the upper x-axis represent the average number of predictors. Red dots indicate average deviance values for each model with a given λ, and vertical bars through the red dots show the upper and lower values of the deviances. The vertical black lines define the optimal values of λ, where the model provides its best fit to the data. The optimal λ value 0.040 with log(λ) =-3.22 was selected