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  Indian J Med Microbiol
 

Figure 5: Feature selection using the LASSO binary logistic regression model. (a) By selecting a 10-fold cross-validation in the LASSO model with minimum standards. The binomial deviance was plotted versus log (λ). Dotted vertical lines were drawn at the optimal λ values based on the minimum criteria and 1 standard error of the minimum standards and the optimal λ was 0.0304, with log(λ = -3.4936. (b) The LASSO logistic regression algorithm was used to screen out 13 features with non-zero coefficients out of 656 features. (c) Coefficients in the LASSO model of the 13 features

Figure 5: Feature selection using the LASSO binary logistic regression model. (a) By selecting a 10-fold cross-validation in the LASSO model with minimum standards. The binomial deviance was plotted versus log (λ). Dotted vertical lines were drawn at the optimal λ values based on the minimum criteria and 1 standard error of the minimum standards and the optimal λ was 0.0304, with log(λ = -3.4936. (b) The LASSO logistic regression algorithm was used to screen out 13 features with non-zero coefficients out of 656 features. (c) Coefficients in the LASSO model of the 13 features