Figure 4.

LASSO algorithm on feature selection. (A) The LASSO path describes the relationship between the regression coefficient of the independent variable and the LASSO penalty coefficient α. The best α value selected by model was 0.37. (B) The MSE path for LASSO training process. The dotted vertical line was plotted on the value selected in (A). (C) The optimal coefficients of 15 features selected by LASSO. LASSO parameters: cv [10] and max_iter [1000]. LASSO, least absolute shrinkage and selection operator.