Predicting Customer Churn
1. Figure
[Fig. Random forest features by importance]
[Fig. Result of models]
2. Goal
For the stability of the company’s financial problems, create a model to predict what customer has a high risk of leaving the bank’s credit card services.
3. Methodology & Summary
- Random Forest has best model compared to other with Kappa, Sensitivity, Specificity and F1 score has shown at least 96% accuracy. Random Forest have AUC score of 98% that shows the model is learning the data well enough.