Citation Request:
  This dataset is publicly available for research. The details are described in [Moro et al., 2014]. 
  Please include this citation if you plan to use this database:

  [Moro et al., 2014] S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, In press, http://dx.doi.org/10.1016/j.dss.2014.03.001

  Available at: [pdf] http://dx.doi.org/10.1016/j.dss.2014.03.001
                [bib] http://www3.dsi.uminho.pt/pcortez/bib/2014-dss.txt

1. Title: Bank Marketing (with social/economic context)

2. Sources
  Created by: Sérgio Moro (ISCTE-IUL), Paulo Cortez (Univ. Minho) and Paulo Rita (ISCTE-IUL) @ 2014
   
3. Past Usage:

  The full dataset (bank-additional-full.csv) was described and analyzed in:

  S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems (2014), doi:10.1016/j.dss.2014.03.001.
 
4. Relevant Information:

   This dataset is based on "Bank Marketing" UCI dataset (please check the description at: http://archive.ics.uci.edu/ml/datasets/Bank+Marketing).
   The data is enriched by the addition of five new social and economic features/attributes (national wide indicators from a ~10M population country), published by the Banco de Portugal and publicly available at: https://www.bportugal.pt/estatisticasweb.
   
   The binary classification goal is to predict if the client will subscribe a bank term deposit (variable y).

5. Number of Instances: 41188 for bank-additional-full.csv

7. Attribute information:

   These have been tweaked by Tom Drabas for the purpose of the Practical Data Analysis book published by Packt Publishing. 

   Input variables:
   1 - n_age, normalized age of the customer
   2 - n_duration, normalized last contact duration, in seconds
   3 - n_pdays, normalized number of days that passed by after the client was last contacted from a previous campaign (1 means client was not previously contacted)
   4 - n_previous, normalized number of contacts performed before this campaign and for this client
   5 - n_emp_var_rate, normalized employment variation rate - quarterly indicator
   6 - n_cons_price_idx,  normalized consumer price index - monthly indicator
   7 - n_cons_conf_idx, normalized consumer confidence index - monthly indicator
   8 - n_euribor3m, normalized euribor 3 month rate - daily indicator
   9 - n_nr_employed, normalized number of employees - quarterly indicator
   10 - job_admin, a dummy variable indicating a person working in an admin position
   11 - job_blue_collar, a dummy variable indicating a person working in an blue collar position
   12 - job_entrepreneur, a dummy variable indicating a person being an entrepreneur
   13 - job_housemaid, a dummy variable indicating a person being a housemaid
   14 - job_management, a dummy variable indicating a person being a manager
   15 - job_retired, a dummy variable indicating a retiree
   16 - job_self_employed, a dummy variable indicating a person being self employed
   17 - job_services, a dummy variable indicating a person working in a services industry
   18 - job_student, a dummy variable indicating a person being a student
   19 - job_technician, a dummy variable indicating a person being a technician
   20 - job_unemployed, a dummy variable indicating a person being unemployed
   21 - job_unknown, a dummy variable indicating an unknown person's occupation
   22 - marital_divorced, a dummy variable indicating a person being divorced
   23 - marital_married, a dummy variable indicating a person being married
   24 - marital_single, a dummy variable indicating a person being single
   25 - marital_unknown, a dummy variable indicating unknown person's marital status
   26 - edu_basic_4y, a dummy variable indicating 4 years of basic education
   27 - edu_basic_6y, a dummy variable indicating 6 years of basic education
   28 - edu_basic_9y, a dummy variable indicating 9 years of basic education
   29 - edu_high_school, a dummy variable indicating a high school diploma
   30 - edu_illiterate, a dummy variable indicating an illiterate person
   31 - edu_professional_course, a dummy variable indicating finishing a professional course
   32 - edu_university_degree, a dummy variable indicating university degree
   33 - edu_unknown, a dummy variable indicating unknown person's education
   34 - default_unknown, a dummy variable indicating missing variable whether the person had defaulted on their credit
   35 - default_yes, a dummy variable indicating a default in the person's credit history
   36 - housing_unknown, a dummy variable indicating missing variable whether the person holds a home loan
   37 - housing_yes, a dummy variable indicating the person holds a housing loan
   38 - loan_unknown, a dummy variable indicating missing variable whether the person holds a persona loan
   39 - loan_yes, a dummy variable indicating the person holds a personal loan
   40 - contact_cellular, a dummy variable indicating the person was contacted on their cellphone
   41 - contact_telephone, a dummy variable indicating the person was contacted on their landline
   42 - prev_ctc_outcome_failure, a dummy variable indicating the outcome of the previous marketing campaign as a fail
   43 - prev_ctc_outcome_nonexistent, a dummy variable indicating that the person has not been contacted before
   44 - prev_ctc_outcome_success, a dummy variable indicating the outcome of the previous marketing campaign as a success i.e. the person applied for a credit
   45 - month_apr, a dummy variable indicating that the person was contacted in April
   46 - month_aug, a dummy variable indicating that the person was contacted in August
   47 - month_dec, a dummy variable indicating that the person was contacted in December
   48 - month_jul, a dummy variable indicating that the person was contacted in July
   49 - month_jun, a dummy variable indicating that the person was contacted in June
   50 - month_mar, a dummy variable indicating that the person was contacted in March
   51 - month_may, a dummy variable indicating that the person was contacted in May
   52 - month_nov, a dummy variable indicating that the person was contacted in November
   53 - month_oct, a dummy variable indicating that the person was contacted in October
   54 - month_sep, a dummy variable indicating that the person was contacted in September
   55 - dow_fri, a dummy variable indicating that the person was contacted on Friday
   56 - dow_mon, a dummy variable indicating that the person was contacted on Monday
   57 - dow_thu, a dummy variable indicating that the person was contacted on Thursday
   58 - dow_tue, a dummy variable indicating that the person was contacted on Tuesday
   59 - dow_wed, a dummy variable indicating that the person was contacted on Wednesday
   