Credit: Credit Score Data From a South German Bank

In MLGdata: Datasets for Use with Salvan, Sartori and Pace (2020)

Description

Data for 1000 clients of a south german bank, 700 good payers and 300 bad payers. They are used to construct a credit scoring method.

Format

Data frame with 1000 observations on the following 8 variables

Y

a factor with levels buen mal, the response variable. buen is the good payers.

Cuenta

a factor with levels no good running bad running, quality of the credit clients bank account.

Mes

a numeric vector, duration of loan in months.

Ppag

a factor with levels pre buen pagador pre mal pagador, if the client previosly have been a good or bad payer.

Uso

a factor with levels privado profesional, the use to which the loan is made.

DM

a numeric vector, the size of loan in german marks.

Sexo

a factor with levels mujer hombre, sex of the client.

Estc

a factor with levels no vive solo vive solo, civil state of the client.

Source

Fahrmeier, L. and Tutz, G. (2001) Multivariate Generalized Linear Models. New York: Springer Verlag.

Package Fahrmeir

MLGdata documentation built on Oct. 23, 2020, 7:47 p.m.