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. 2021 Feb;13(2):1215–1229. doi: 10.21037/jtd-20-2580

Figure 2.

Figure 2

Feature selection using the LASSO binary logistic regression model. (A) Tuning parameter (lambda) selection in the LASSO regression used 5-fold cross-validation via 1 standard error criteria, four laboratory features with non-zero coefficient were selected. (B) LASSO coefficient profiles of the 27 clinical features. (C) Tuning parameter (lambda) selection in the LASSO regression used 5-fold cross-validation via 1 standard error criteria, four quantitative CT features with non-zero coefficient were selected. (D) LASSO coefficient profiles of the 201 radiological features.