Figure 1
From: Development and validation of a simple-to-use nomogram for self-screening the risk of dyslipidemia
Variable selection using the LASSO binary logistic regression model. (A) LASSO coefficients of 14 variables. The optimal penalization coefficient (lambda) was identified in the LASSO model where optimal lambda resulted in ten features with nonzero coefficients. (B) The partial likelihood deviance (binomial deviance) curve was plotted versus log(lambda). The left vertical line is dotted at the minimum criteria of lambda, and the right vertical line is dotted at one standard error of the minimum lambda. LASSO least absolute shrinkage and selection operator.
