Fig. 2From: A prediction model of nodal metastasis in cN0 oral squamous cell carcinoma using metabolic and pathological variablesVariable selection by using the least absolute shrinkage and selection operator (LASSO) regression model. a Selection of tuning parameter (λ) in the LASSO model used fivefold cross-validation via minimum criteria. The left and right dotted vertical lines represent the optimal values of lambda when using the minimum criterion(λ value of 0.0299) and the one-fold standard error of minimum criterion(λ value of 0.1749), respectively. b LASSO coefficient profiles of the 20 selected variablesBack to article page