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  Indian J Med Microbiol
 

Figure 2: The least absolute shrinkage and selection operator algorithm and 10-fold cross validation were used to extract the optimal subset of all variables. (A) Optimal variables selection according to the area under the curve value. When the value in (λ) increased to -3.174 8, the area under the curve value reached the peak corresponding to the optimal number of predictive variables. (B) The least absolute shrinkage and selection operator coefficient profiles of the 50 variables. The vertical line was drawn at the value selected by 10-fold cross validation, where the optimal λ resulted in 8 nonzero coefficients.

Figure 2: The least absolute shrinkage and selection operator algorithm and 10-fold cross validation were used to extract the optimal subset of all variables. (A) Optimal variables selection according to the area under the curve value. When the value in (λ) increased to -3.174 8, the area under the curve value reached the peak corresponding to the optimal number of predictive variables. (B) The least absolute shrinkage and selection operator coefficient profiles of the 50 variables. The vertical line was drawn at the value selected by 10-fold cross validation, where the optimal λ resulted in 8 nonzero coefficients.