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.
Deze oefening maakt deel uit van de cursus
Introduction to Regression in R
Oefeninstructies
- Convert
outcomesto a yardstick confusion matrix. Assign toconfusion. - Automatically plot
confusion. - Get performance metrics from
confusion, remembering that the positive response is in the second column.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Convert outcomes to a yardstick confusion matrix
confusion <- ___
# Plot the confusion matrix
___
# Get performance metrics for the confusion matrix
___