Session Ready
Exercise

Plotting the confusion matrix

Calculating performance metrics with the yardstick package provides insight into how well a classification model is performing on the test dataset. Most yardstick functions return a single number that summarizes classification performance.

Many times, it is helpful to create visualizations of the confusion matrix to more easily communicate your results.

In this exercise, you will make a heat map and mosaic plot of the confusion matrix from your logistic regression model on the telecom_df dataset.

Your model results tibble, telecom_results, has been loaded into your session.

Instructions 1/2
undefined XP
  • 1
    • Create a confusion matrix from your model results, telecom_results.
    • Pass your confusion matrix to the appropriate function for creating heat maps.
    • 2
      • Create a confusion matrix from your model results.
      • Pass your confusion matrix to the appropriate function for creating mosaic plots.