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Table 3 Description of datasets

From: A novel cost-sensitive framework for customer churn predictive modeling

Set N π 1 C 0
Total 9,410 .0483 580,884
Training (t) 3,758 .0505 244,542
Validation 2,824 .0477 174,171
Testing 2,825 .0442 162,171
Under-sampling (u) 374 .5080 244,542
CS Rejection-sampling (r) 428 .4135 431,428
CS Over-sampling (o) 5,767 .03124 2,350,285