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. 2019 Sep 30;9:980. doi: 10.3389/fonc.2019.00980

Figure 2.

Figure 2

Lasso algorithm for feature selection. The Lasso path (A) showed coefficient profiles along the full path of possible values for radiomic features. The optimal α value of 0.27 with -log(a) = 1.31 was selected. The MSE path (B) showed that the dotted vertical line was plotted at the value selected using 10-fold cross-validation in (A). The coefficients in the Lasso model (C) resulted in 6 features corresponding to the selected optimal values.