These data are a variation of a case study at tidymodels.org where a
penalized regression model was used for a binary classification task. The
outcome metrics in classification_results are the areas under the ROC and
PR curve, log-likelihood, and the number of predictors selected for a given
amount of penalization. Two tuning parameters, mixture and penalty, were
varied across 300 conditions.