Bank Term Deposit

Dataset for predicting if a customer will subscribe for a term deposit in a bank institution

Data dictionary:

1 -age: age of customer
2 -job :type of job
3 -marital :marital status
4-balance: average yearly balance, in euros
5-education: level of education
6-default: has credit in default?
7-housing: has housing loan?
8-loan: has personal loan?
9-contact: contact communication type
10-month: last contact month of year
11–day: last contact day of the week
12-duration: last contact duration, in seconds
13-campaign: number of contacts performed during this campaign and for this client
14-pdays: number of days that passed by after the client was last contacted from a previous campaign
15-previous: number of contacts performed before this campaign and for this client
16-poutcome: outcome of the previous marketing campaign of employees -quarterly indicator (numeric)
17-y -has the client subscribed a term deposit? (binary: 'yes','no')