The table "Bank credit scoring" contains information on 4521 individuals' demographic, financial, and contact details, with a total of 18 columns including variables such as age, job, marital status, education, and previous campaign outcomes. This dataset can be used to analyze and develop models for credit scoring to assess the creditworthiness of potential borrowers. (AI-generated)
age, job, marital, education, default, balance, housing, loan, contact, day, month, duration, campaign, pdays, previous, poutcome, y