Number of people being liable to provide maintenance for 19. Number of existing credits at this bank 17. Other installment plans (banks, stores) 15. Personal status (married, single.) and sex 10. Installment rate in percentage of disposable income 9. Ron Marshall, assistant chief of logistics with ARFF, during a mock aircraft crash for exercise Tanuki Wrath at Marine Corps Air Station Iwakuni, Japan, April 27, 2017. Status of savings account/bonds, in Deutsche Mark. First responders with Aircraft Rescue and Firefighting treat U.S. Purpose of the credit (car, television.) 5. Credit history (credits taken, paid back duly, delays, critical accounts) 4. Status of existing checking account, in Deutsche Mark. The German Credit Data contains data on 20 variables and the classification of whether an applicant is considered a Good or Bad credit risk for 1000 loan applicants. Hans Hofmann Source: ((german+credit+data)) - 1994 Please cite: ()German Credit dataset This dataset classifies people described by a set of attributes as good or bad credit risks.This dataset comes with a cost matrix: ``` Good Bad (predicted) Good 0 1 (actual) Bad 5 0 ```It is worse to class a customer as good when they are bad (5), than it is to class a customer as bad when they are good (1). The German Credit data set is a publically available data set downloaded from the UCI Machine Learning Repository.
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