शुरू करेंमुफ़्त में शुरू करें

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.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Introduction to Regression in R

पाठ्यक्रम देखें

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

# 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
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