Research Article

One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values

Table 1

Attribute description of “China churn” dataset.

AttributeNameMissing
rate (%)

Total consumption times7.37
Total consumption amount 6.76
Total cash times4.95
Customer survival time8.63
Total contributions11.12
Valid survival time8.05
Average amount ratio10.75
Whether associated charge12.18
Consumption times in the last 1 month2.09
Consumption times in the last 2 months3.13
Consumption times in the last 3 months8.08
Consumption times in the last 4 months9.31
Consumption times in the last 5 months3.87
Cash times in the last 1 month5.07
Cash times in the last 2 months7.04
Cash times in the last 3 months8.97
Cash times in the last 6 months10.60
Months of transaction times reducing continuously8.48
If overdue in the last 1 month7.80
If overdue in the last 2 months13.76
Amount usage ratio in the last 1 month/historical average usage ratio6.11
Sex2.70
Annual income14.84
Nature of work industry11.18
Education8.63