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Credit risk example

The dataset has the following columns with some features identifying a client:

  • age: age of the client
  • ed: education level
  • employ: job type
  • address: geolocation
  • income: year income
  • debtinc: annual amount to pay for the loan
  • creddebt: total amount of bank loans
  • Otherdebt: other kind of credits (credit car,…)
  • default: (0: no, 1: yes). Binary classification. 
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