[Retracted] Functional Analysis of Bronchopulmonary Dysplasia-Related Neuropeptides in Preterm Infants and miRNA-Based Diagnostic Model Construction

Figure 6

Construction of SVM-RFE and lasso regression models and demonstration of classification performance. (a) A line graph between the number of incorporated variables and accuracy of the model during the training of the SVM-RFE model; the model had the highest accuracy when 11 variables were included; (b) the relationship between the choice of the penalty coefficient log(lambda) and retention variables in the lasso regression analysis; (c) using ten cross-validated lasso regression analyses, the relationship curves of binomial deviance and log(lambda) were drawn; 18 variables were selected for further analysis; (d) PCA demonstrating classification performance when the SVM-RFE model performs the best; (e) PCA demonstrating the classification performance of lasso logistic regression analysis.

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