Our challenge is to develop a predictive analysis system to predict who may leave the bank. Any

classification system providing a best fit for the dataset may be used to create a churn model to predict

customer retention rates for future fiscal years.

Additionally, group may want to explore research questions such as what are the key predictors the

bank should be aware of with their customers? Examples are included, but not limited to:

Are female customers leaving more than males?

What age groups show an inclination to leave?

Is there indication of customer departures associated with specific countries?

Is there evidence of salary associated departures?