Table 6 Results of evaluating after preprocessing phase
From: Developing a prediction model for customer churn from electronic banking services using data mining
| Â | Missing values | Sampling | Accuracy (%) | Precision (%) | Recall (%) | F-measure (%) |
|---|---|---|---|---|---|---|
Noise & Outliers were detected and eliminated | Replace (AVG) | Bootstrap | 99.31 | 72.22 | 86.67 | 78.79 |
Impute (k = 5) | 99.31 | 72.22 | 86.67 | 78.79 |