classification_results {desirability2}

Classification results

Description

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.

Value

classification_results

a tibble

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)