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Fig. 4 | BMC Medical Imaging

Fig. 4

From: An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer

Fig. 4

Selecting features via the least absolute shrinkage and selection operator (LASSO) logistic regression analysis. a Using tenfold cross-validation to select the tuning parameter (λ) in the LASSO model via minimum criteria. The correlation between the AUC curve and log(λ) was plotted in this chart. Dotted vertical lines were drawn at optimal values. b LASSO coefficient profiles of 179 features. The coefficient profile was plotted against the log (λ) sequence. After the tenfold cross-validation, the optimal λ resulted in 15 nonzero coefficients

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