gcd: Excerpt from German Credit Data
In andrija-djurovic/monobin: Monotonic Binning for Credit Rating Models
gcd R Documentation
Excerpt from German Credit Data
Description
The German Credit Data contains data on 20 variables and the classification whether
an applicant is considered a Good or a Bad credit risk for 1000 loan applicants.
Only 3 numeric variables are extracted (Duration of Credit (month),
Credit Amount and Age (years)) along with
good/bad indicator (Creditability) and renamed as:
qual (Creditability), maturity (Duration of Credit (month)), age (Age (years)),
amount (Credit Amount).
Usage
gcd
Format
An object of class data.frame with 1000 rows and 4 columns.
Source
andrija-djurovic/monobin documentation built on July 26, 2022, 7:33 p.m.
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| gcd | R Documentation |
Excerpt from German Credit Data
Description
The German Credit Data contains data on 20 variables and the classification whether an applicant is considered a Good or a Bad credit risk for 1000 loan applicants. Only 3 numeric variables are extracted (Duration of Credit (month), Credit Amount and Age (years)) along with good/bad indicator (Creditability) and renamed as: qual (Creditability), maturity (Duration of Credit (month)), age (Age (years)), amount (Credit Amount).
Usage
gcd
Format
An object of class data.frame with 1000 rows and 4 columns.
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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