Development and Validation of a Novel Model for Predicting the 5-Year Risk of Type 2 Diabetes in Patients with Hypertension: A Retrospective Cohort Study

Figure 1

Feature selection using least absolute shrinkage and selection operator (LASSO) logistic regression. (a) Tuning parameter () selection in the LASSO logistic regression performed using 10-fold cross-validation via the minimum criteria. The binomial deviance was plotted versus . Dotted vertical lines were drawn at the optimal based on the minimum criteria and 1 standard error for the minimum criteria, and the optimal was 0.0212. (b) The LASSO logistic regression algorithm was used to screen out 8 features with nonzero coefficients out of 20 features. A coefficient profile plot is produced versus the . LASSO: least absolute shrinkage and selection operator.

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