german_credit: The UCI "German Credit Data" Dataset
In shramkoartem/nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection

This dataset classifies people described by a set of attributes as good or bad credit risks.

1	german_credit

A data frame with 1000 rows and 20 variables:

account_status: Factor. Status of existing checking account
duration: Numeric. Duration in month
purpose: Factor. Purpose
credit_history: Factor. Credit history
amount: Numeric. Credit amount
savings: Numeric. Savings account/bonds
employment: Factor Present employment since
installment_rate: Integer. Installment rate in percentage of disposable income
status_gender: Factor. Personal status and gender
guarantors: Factor. Other debtors / guarantors
resident_since: Numeric. Present residence since
property: Factor. Property
age: Numeric. Age in years
other_plans: Factor. Other installment plans
housing: Factor. Housing
num_credits: Numeric. num_credits
job: Factor. Job
people_maintenance: Numeric. Number of people being liable to provide maintenance for
phone: Factor. Telephone
foreign: Factor. foreign worker
BAD: Factor. Target feature. 1 = BAD

...

Professor Dr. Hofmann, Hans (1994). UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data). Hamburg, Germany: Universitaet Hamburg, Institut fuer Statistik und "Oekonometrie.

shramkoartem/nsga3 documentation built on May 28, 2019, 9:53 p.m.

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