GermanCredit: Statlog (German Credit Data) Data Set

In gmoeser/featureCorMatrix: Measurement Level Independent Feature Correlation Matrix

Description

This dataset classifies people described by a set of attributes as good or bad credit risks. The variables are as follows:

Usage

data(GermanCredit)

Format

A data frame with 1000 rows and 21 variables

Details

• Credit. Target variable

• balance_credit_acc. Status of existing checking account

• duration. Duration in month

• moral. Credit history

• verw. Purpose

• hoehe. Credit amount

• sparkont. Savings account/bonds

• beszeit. Present employment since

• rate. Installment rate in percentage of disposable income

• famges. Personal status and sex

• buerge. Other debtors / guarantors

• wohnzeit. Present residence since

• verm. Property

• alter. Age in years

• weitkred. Other installment plans

• wohn. Housing

• bishkred. Number of existing credits at this bank

• beruf. Job

• pers. Number of people being liable to provide maintenance for

• telef. Telephone

• gastarb. Foreign worker

gmoeser/featureCorMatrix documentation built on May 25, 2020, 12:53 a.m.