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.
Source
See the example-data directory in the package with code that is a variation
of the analysis shown at https://www.tidymodels.org/start/case-study/.
Examples
data(classification_results)