From: Leveraging fine-grained mobile data for churn detection through Essence Random Forest
Category | Feature |
---|---|
Base | Age |
Gender | |
Time from enrolment | |
Average evolution of data volume last month compared to previous month | |
Average evolution of number of text messages last month compared to previous month | |
Average evolution of total number of minutes of outgoing calls last month compared to previous month | |
Communication network | Number of connections (i.e. degree) |
Average churn behavior among peers weighted by communication | |
Total communication time spent with defecting peers |