PySpark ML Bank Churn Prediction
- Surname: corresponds to the record (row) number and has no effect on the output.
- CreditScore: contains random values and has no effect on customer leaving the bank.
- Geography: a customer’s location can affect their decision to leave the bank.
- Gender: it’s interesting to explore whether gender plays a role in a customer leaving the bank.
- Age: this is certainly relevant, since older customers are less likely to leave their bank than younger ones.
- Tenure: refers to the number of years that the customer has been a client of the bank. Normally, older clients are more loyal and less likely to leave a bank.
- NumOfProducts: refers to the number of products that a customer has purchased through the bank.
- HasCrCard: denotes whether or not a customer has a credit card.