Measuring logistic model performance
Having the confusion matrix as a table object is OK, but a little hard to program with. By converting this to a yardstick
confusion matrix object, you get methods for plotting and extracting performance metrics.
The confusion matrix, outcomes
is available as a table object. ggplot2
and yardstick
are loaded, and the yardstick.event_first
option is set to FALSE
.
This exercise is part of the course
Introduction to Regression in R
Exercise instructions
- Convert
outcomes
to a yardstick confusion matrix. Assign toconfusion
. - Automatically plot
confusion
. - Get performance metrics from
confusion
, remembering that the positive response is in the second column.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Convert outcomes to a yardstick confusion matrix
confusion <- ___
# Plot the confusion matrix
___
# Get performance metrics for the confusion matrix
___