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 |