# bank client data:
  1 - age (numeric)
  2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","studen
t ",
   "blue-collar","self-employed","retired","technician","services")
  3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowe
 d)
 4 - education (categorical: "unknown","secondary","primary","tertiary")
 5 - default: has credit in default? (binary: "yes","no")
 6 - balance: average yearly balance, in euros (numeric)
 7 - housing: has housing loan? (binary: "yes","no")
 8 - loan: has personal loan? (binary: "yes","no")
 # related with the last contact of the current campaign:
 9 - contact: contact communication type (categorical: "unknown","telephone","cellular")
 10 - day: last contact day of the month (numeric)
 11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec")
 12 - duration: last contact duration, in seconds (numeric)
 # other attributes:
 13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)
 14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 m
 eans client was not previously contacted)
 15 - previous: number of contacts performed before this campaign and for this client (numeric)
 16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success")
 Output variable (desired target):
 17 - y - has the client subscribed a term deposit? (binary: "yes","no") [Target Variable]