Why are “churn models” so important? Let’s give an example. Typically, the yearly churn rate for a telecom operator (i.e. a mobile phone operator ) is 12%. That means that each year, a mobile phone operator loses 12% of its customers.
The objective of the world-level datamining completion KDD-2009 was a very common task inside the telecom industry and accurately represents the kind of tasks that are encountered in “real life.
The objective here is to detect the customers that won’t buy anymore their cosmetic products at the same re-seller anymore. More precisely: we are actually interested in the opposite prediction: “Who are the recurrent customer?”.