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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