The Churn Dataset is a typical B2B dataset where each row is a customer’s events summary for a period and one of the columns is a important event from a business point of view : churn, buying of a more expensive plan (up sell ) or buying of another product ( cross sell ). This is a binary classification problem on a tabular dataset
There are 19 features. All of them are informations about customer at the date when the dataset was extracted. CustomerID is the index of the dataset.
Column named Churn is the Target. It is a flag telling if the customer has churned the week the dataset was generated. Its rate is about 26,6%