Most likely outcome
When explaining your results to a non-technical audience, you may wish to side-step talking about probabilities and simply explain the most likely outcome. That is, rather than saying there is a 60% chance of a customer churning, you say that the most likely outcome is that the customer will churn. The tradeoff here is easier interpretation at the cost of nuance.
mdl_churn_vs_relationship, explanatory_data, and plt_churn_vs_relationship are available and dplyr is loaded.
This exercise is part of the course
Introduction to Regression in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Update the data frame
prediction_data <- explanatory_data %>%
mutate(
has_churned = predict(mdl_churn_vs_relationship, explanatory_data, type = "response"),
# Add the most likely churn outcome
most_likely_outcome = ___
)
# See the result
prediction_data