Table 6 Results of the cost-sensitive logistic regression (CSLR) algorithm, estimated using the different training sets
From: A novel cost-sensitive framework for customer churn predictive modeling
Algorithm | Set | Savings | F 1 S c o r e |
|---|---|---|---|
CSLR | t | 0.2418 ± 0.0859 | 0.1079 ± 0.0318 |
u | 0.1933 ± 0.0879 | 0.0908 ± 0.0055 | |
r | 0.1971 ± 0.0897 | 0.0911 ± 0.0057 | |
o | 0.2042 ± 0.0914 | 0.0917 ± 0.0060 |