Capítulo 9 Judging model effectiveness

Learning objectives:

• Explain why measures of model fit to actual data are important even for purely inferential models.
• Use {yardstick} to compute regression metrics.
  • Recognize {yardstick} function output.
  • Create a metric set with yardstick::metric_set().
• Use {yardstick} to compute binary classification metrics.
  • Describe the common arguments for {yardstick} classification metrics.
  • Visualize a binary classification model fit using {yardstick} and {ggplot2}.
• Use {yardstick} to compute multi-class classification metrics.
  • Extend an explicitly binary metric such as sensitivity() to multiple classes using {yardstick}.
• Combine {yardstick} metrics with dplyr::group_by().
  • Visualize a model fit for different groups using {yardstick}, {dplyr}, and {ggplot2}