From: Developing a prediction model for customer churn from electronic banking services using data mining
Features | Descriptions |
---|---|
Age | Minimum: 19Â years |
Maximum: 76Â years | |
Average: 39Â years | |
Gender | Female: 4.61Â % |
Male: 95.39Â % | |
Level of education | Illiterate: 0.59Â % |
Reading and writing ability: 0.8Â % | |
Elementary education: 2.51Â % | |
High school diploma: 12.39Â % | |
Diploma: 42.12Â % | |
Associate degree: 18.94Â % | |
B. Sc.: 19.44Â % | |
M. Sc.: 1.76Â % | |
Ph. D: 1.46Â % | |
Career | Manufacturing: 0.9Â % |
Services: 94.6Â % | |
Housing and construction: 0.5Â % Commercial business: 3.7Â % | |
Agriculture: 0.3Â % |