credit-g_reproduced_1
type: Item
instance of: data set
OpenML dataset ID: 44098
dataset version identifier: 1
description: **Author**: Dr. Hans Hofmann \N**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)) - 1994 \N**Please cite**: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)\N\N**German Credit dataset** \NThis dataset classifies people described by a set of attributes as good or bad credit risks.\N\NThis dataset comes with a cost matrix: \N``` \NGood Bad (predicted) \NGood 0 1 (actual) \NBad 5 0 \N```\N\NIt 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). \N\N### Attribute description \N\N1. Status of existing checking account, in Deutsche Mark. \N2. Duration in months \N3. Credit history (credits taken, paid back duly, delays, critical accounts) \N4. Purpose of the credit (car, television,...) \N5. Credit amount \N6. Status of savings account/bonds, in Deutsche Mark. \N7. Present employment, in number of years. \N8. Installment rate in percentage of disposable income \N9. Personal status (married, single,...) and sex \N10. Other debtors / guarantors \N11. Present residence since X years \N12. Property (e.g. real estate) \N13. Age in years \N14. Other installment plans (banks, stores) \N15. Housing (rent, own,...) \N16. Number of existing credits at this bank \N17. Job \N18. Number of people being liable to provide maintenance for \N19. Telephone (yes,no) \N20. Foreign worker (yes,no)
author name string: Dr. Hans Hofmann
collection date: 1994-11-17
upload date: 2022-06-22T00:00:00Z
full work available at URL: credit-g reproduced 1.arff
full work available at URL: statlog+(german+credit+data)
default target attribute: class
OpenML semantic tag: Computer Systems
OpenML semantic tag: Physical Sciences
cites work: Q6032884
citation text: https://dl.acm.org/doi/abs/10.1145/967900.968104
number of binary features: 3
number of classes: 2
number of features: 21
number of instances: 1000
number of instances with missing values: 0
number of missing values: 0
number of numeric features: 7
number of symbolic features: 14
file format: ARFF
MaRDI profile type: Dataset
description: OpenML dataset with id 44098