This dataset classifies people described by a set of attributes as good or bad credit risks.
A data frame with 1000 rows and 20 variables:
Factor. Status of existing checking account
Numeric. Duration in month
Factor. Credit history
Numeric. Credit amount
Numeric. Savings account/bonds
Factor Present employment since
Integer. Installment rate in percentage of disposable income
Factor. Personal status and gender
Factor. Other debtors / guarantors
Numeric. Present residence since
Numeric. Age in years
Factor. Other installment plans
Numeric. Number of people being liable to provide maintenance for
Factor. foreign worker
Factor. Target feature. 1 = BAD
Professor Dr. Hofmann, Hans (1994). UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data). Hamburg, Germany: Universitaet Hamburg, Institut fuer Statistik und "Oekonometrie.
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