Study of the Gastrointestinal Heat Retention Syndrome in Children: From Diagnostic Model to Biological Basis

Figure 2

Core symptoms selection using the Lasso regression model. (a) Lasso coefficient profiles of the 37 texture features. A coefficient profile plot was produced against the log l sequence. (b) Tuning parameter l selection in the LASSO model used 10-fold cross validation via minimum criteria. Binomial deviance was plotted versus log l. Dotted vertical lines were drawn at the optimal values by using the minimum criteria, and the 1 standard error of the minimum criteria (the 1-SE criteria). A l value of 0.01389958 was chosen (1-SE criteria) according to 10-fold cross validation.

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