Figure 2 | Scientific Reports

Figure 2

From: Comprehensive risk factor-based nomogram for predicting one-year mortality in patients with sepsis-associated encephalopathy

Figure 2

Feature Selection Process Using LASSO Regression and Tenfold Cross-Validation. (a) The graph illustrates the relationship between the coefficients of clinical features and the lambda values in LASSO regression. (b) The graph presents the tenfold cross-validation curve for LASSO regression, which aids in model selection. This figure provides a comprehensive view of the feature selection process and the criteria used for determining the optimal model parameters. LASSO, least absolute shrinkage and selection operator regression; λ, lambda.

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