The data comes from direct marketing efforts of a European banking institution. The marketing campaign involves making a phone call to a customer, often multiple times to ensure a product subscription, in this case a term deposit. Term deposits are usually short-term deposits with maturities ranging from one month to a few years. The customer must understand when buying a term deposit that they can withdraw their funds only after the term ends. All customer information that might reveal personal information is removed due to privacy concerns.
- age : age of customer (numeric)
- job : type of job (categorical)
- marital : marital status (categorical)
- education (categorical)
- default: has credit in default? (binary)
- balance: average yearly balance, in euros (numeric)
- housing: has a housing loan? (binary)
- loan: has personal loan? (binary)
- contact: contact communication type (categorical)
- day: last contact day of the month (numeric)
- month: last contact month of year (categorical)
- duration: last contact duration, in seconds (numeric)
- campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)
- y - has the client subscribed to a term deposit? (binary)
- Predict if the customer will subscribe (yes/no) to a term deposit (variable y)
- Hit %81 or above accuracy by evaluating with 5-fold cross validation and reporting the average performance score.
- We are also interested in finding customers who are more likely to buy the investment product. Determine the segment(s) of customers our client should prioritize.
- What makes the customers buy? Tell us which feature we should be focusing more on.