| german {fairmodels} | R Documentation |
Modified German Credit data dataset
Description
german dataset. Data contains information about people and their credit risks.
Usage
data(german)
Format
A data frame with 1000 rows and 10 variables:
- Risk
factor, good/bad risk connected with giving the credit. Models should predict this values
- Sex
factor, male/female , considered to be protected group
- Job
numeric, job titles converted to integers where 0- unemployed/unskilled, 3- management/ self-employed/highly qualified employee/ officer
- Housing
factor, rent/own/free where this person lives
- Saving.accounts
factor, little/moderate/quite rich/rich/not_known, where not_known indicates NA
- Checking.account
factor, little/moderate/rich/not_known, where not_known indicates NA
- Credit.amount
numeric, amount of money in credit
- Duration
numeric, duration of credit
- Purpose
factor, purpose of credit
- Age
numeric, age of person that applied for credit
Source
Data from kaggle https://www.kaggle.com/kabure/german-credit-data-with-risk/. The original source is UCL https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data).