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.