Measure final model performance

Now its time to calculate the test performance of your final model (logistic regression). Here you will use the held out testing data to characterize the performance you would expect from this model when it is applied to new data.

Diese Übung ist Teil des Kurses

Machine Learning in the Tidyverse

Kurs anzeigen

Anleitung zur Übung

Use table() to compare the test_actual and test_predicted vectors.
Calculate the test accuracy.
Calculate the test precision.
Calculate the test recall.
After this exercise, you are done with the course! If you enjoyed the material, feel free to send Dmitriy a thank you via Twitter. He'll appreciate it. Tweet to Dmitriy

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Compare the actual & predicted performance visually using a table
___

# Calculate the test accuracy
___

# Calculate the test precision
___

# Calculate the test recall
___

Code bearbeiten und ausführen