Fig. 2

Features selection by Lasso. A Tenfold cross validation for the optimal lambda (λ) parameter selection in the LASSO model. There are two dashed lines in the cross-validation diagram, one is the input value with the minimum Mean Square deviation and the other is the input value of the minimum Mean Squared Error(MSE). We take the value of λ with the minimum MSE as the optimal λ. B Binomial deviance curve was plotted versus log (λ), where λ is the tuning parameter Lasso regression cross-validation results. LASSO: least absolute shrinkage and selection operator