Data Science, Statistics, Programming, R Programming, Science.
quantify the relative change in the predicted probability of churn by a particular feature against a pre-defined base customer profile. ## 1. Load Telco Churn data data_raw <- read.csv('Directory/Telco-Customer-Churn.csv', header = TRUE) ## 2. 70/30 Train-Test Split y = data_raw$Churn_Flag