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Data description.txt
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Data description.txt
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Description
A Portuguese banking institution ran direct marketing campaigns to assess if clients would subscribe to a product (bank term deposit).
The marketing campaigns were based on phone calls and more than one contact to the same client was required at times.
The goal is to predict if a client will subscribe a term deposit (variable y).
Created by: Paulo Cortez (Univ. Minho) and Sérgio Moro (ISCTE-IUL) @ 2012
Attribute information:
Input variables:
# bank client data:
1 - age (numeric)
2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student",
"blue-collar","self-employed","retired","technician","services")
3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed)
4 - education (categorical: "unknown","secondary","primary","tertiary")
5 - default: has credit in default? (binary: "yes","no")
6 - housing: has housing loan? (binary: "yes","no")
7 - loan: has personal loan? (binary: "yes","no")
# related with the last contact of the current campaign:
8 - contact: contact communication type (categorical: "unknown","telephone","cellular")
9 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec")
10 - day_of_week: last contact day of the month (numeric)
11 - duration: last contact duration, in seconds (numeric)
# other attributes:
12 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)
13 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted)
14 - previous: number of contacts performed before this campaign and for this client (numeric)
15 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success")
# social-economic attributes:
16 - emp.var.rate : employment variation rate - quarterly indicator (numeric)
17 - cons.price.idx : consumer price index - monthly indicator (numeric)
18 - cons.conf.idx : consumer confidence index - monthly indicator (numeric)
19 - euribor3m : euribor 3 month rate - daily indicator (numeric)
20 - nr.employed : number of employees - quarterly indicator (numeric)
Output variable (desired target):
21 - y - has the client subscribed a term deposit? (binary: "yes","no")