These data are from the website of Dr. Lluís A. Belanche Muñoz by way of a github repository of Dr. Gaston Sanchez. One data point is a missing outcome was removed from the original data.

Source

https://github.com/gastonstat/CreditScoring, http://bit.ly/2kkBFrk

Value

credit_data

a data frame

Examples

data(credit_data) str(credit_data)
#> 'data.frame': 4454 obs. of 14 variables: #> $ Status : Factor w/ 2 levels "bad","good": 2 2 1 2 2 2 2 2 2 1 ... #> $ Seniority: int 9 17 10 0 0 1 29 9 0 0 ... #> $ Home : Factor w/ 6 levels "ignore","other",..: 6 6 3 6 6 3 3 4 3 4 ... #> $ Time : int 60 60 36 60 36 60 60 12 60 48 ... #> $ Age : int 30 58 46 24 26 36 44 27 32 41 ... #> $ Marital : Factor w/ 5 levels "divorced","married",..: 2 5 2 4 4 2 2 4 2 2 ... #> $ Records : Factor w/ 2 levels "no","yes": 1 1 2 1 1 1 1 1 1 1 ... #> $ Job : Factor w/ 4 levels "fixed","freelance",..: 2 1 2 1 1 1 1 1 2 4 ... #> $ Expenses : int 73 48 90 63 46 75 75 35 90 90 ... #> $ Income : int 129 131 200 182 107 214 125 80 107 80 ... #> $ Assets : int 0 0 3000 2500 0 3500 10000 0 15000 0 ... #> $ Debt : int 0 0 0 0 0 0 0 0 0 0 ... #> $ Amount : int 800 1000 2000 900 310 650 1600 200 1200 1200 ... #> $ Price : int 846 1658 2985 1325 910 1645 1800 1093 1957 1468 ...