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Exercise

Customize your model assessment

Creating custom assessment functions is quite convenient when iterating through various models. The metric_set() function from the yardstickpackage can help you to achieve this.

Define a function that returns roc_auc, accuracy, sens(sensitivity) and specificity spec(specificity) and use it to assess your model.

The augmented data frame lr_augis already loaded and ready to go.

Instructions

100 XP
  • Define a custom assessment function that returns roc_auc, accuracy, sens, and spec.
  • Assess your model using your new function on lr_augto obtain the metrics you just chose.