Figure 3.

Feature selection using the LASSO binary logistic model.

Notes: (A) Mean square error on each fold in fivefold cross-validation method. Vertical dotted line was drawn at the minimum mean square error of average. The optimal penalty parameter alpha was obtained based on the line. (B) LASSO coefficient solution path of the eleven features. A coefficient profile plot was produced according to the log (alpha) sequence. Vertical line was drawn at the value selected using fivefold cross-validation, where optimal alpha resulted in seven nonzero coefficients. (C) Coefficients in the LASSO model of the eleven features.

Abbreviation: LASSO, least absolute shrinkage and selection operator.