GermanCredit

This dataset classifies people described by a set of attributes
as good or bad credit risks.
The variables are as follows:<ul>
<li>Credit. Target variable</li>
<li>balance_credit_acc. Status of existing checking account</li>
<li>duration. Duration in month</li>
<li>moral. Credit history</li>
<li>verw. Purpose</li>
<li>hoehe. Credit amount</li>
<li>sparkont. Savings account/bonds</li>
<li>beszeit. Present employment since</li>
<li>rate. Installment rate in percentage of disposable income</li>
<li>famges. Personal status and sex</li>
<li>buerge. Other debtors / guarantors</li>
<li>wohnzeit. Present residence since</li>
<li>verm. Property</li>
<li>alter. Age in years</li>
<li>weitkred. Other installment plans</li>
<li>wohn. Housing</li>
<li>bishkred. Number of existing credits at this bank</li>
<li>beruf. Job</li>
<li>pers. Number of people being liable to provide maintenance for</li>
<li>telef. Telephone</li>
<li>gastarb. Foreign worker</li>
</ul>

datasets

Uses three different correlation coefficients to
calculate measurement-level adequate correlations in a feature matrix:
Pearson product-moment correlation coefficient,
Intraclass correlation and Cramer's V.

Guido Moeser

featureCorMatrix

Measurement Level Independent Feature Correlation Matrix

Ilja Muhl

GermanCredit function

A data frame with 1000 rows and 21 variables

GermanCredit: Statlog (German Credit Data) Data Set

Description

Usage

Arguments

Format