Figure3

Figure 3. Feature selection via Lasso and model performance with reduced features, the data division with RT $$ > $$ 100 h is presented as an example. (A) Coefficient change of each of the 25 features with $$ \lambda $$; (B) Model bias (binomial deviance) as a function of $$ \lambda $$, the red points represent the mean value and the associated error bars are the standard deviation from multiple cross-validations; (C) The performance of the Lasso model with reduced features (11). Lasso: Least absolute shrinkage and selection pperator; RT: creep rupture life.