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. 2021 Jan 12;13:307–317. doi: 10.2147/CMAR.S287128

Figure 1.

Figure 1

Feature selection using least absolute shrinkage and selection operator (LASSO) with a binary regression model. (AC) show the LASSO tuning parameter λ with 10-fold cross-validation for stages I, II, and III, respectively. The misclassification error was plotted versus log(λ). (D–F) show coefficient profiles of stages I, II, and III, respectively. The minimum criteria were chosen to identify the optimal discriminative features and are plotted with a gray vertical line.