AustralianCredit: A Credit Approval Dataset

In economistgame/OptimClassifier: Create the Best Train for Classification Models

Description

This dataset concerns credit card applications and represent positive and negative instances of people who were and were not granted credit. It has served as an important test data set for several credit-scoring algorithms. This dataset was introduced by Quinlan (1987).

Usage

data("AustralianCredit")

Format

A data frame with 690 observations on the following 15 variables.

X1

a factor with levels 0 and 1

X2

a numeric vector

X3

a numeric vector

X4

a factor with 3 levels

X5

a factor with 14 levels

X6

a factor with 9 levels

X7

a numeric vector

X8

a factor with levels 0 and 1

X9

a factor with levels 0 and 1

X10

a numeric vector

X11

a factor with levels 0 and 1

X12

a factor with 3 levels

X13

a numeric vector

X14

a numeric vector

Y

a factor with levels 0 and 1

References

Lichman, M. (2013). UCI machine learning repository. Quinlan,R. (1987). "Simplifying decision trees", Int J Man-Machine Studies 27, pp. 221-234.

Examples

data(AustralianCredit)

## See a general view of a dataset
summary(AustralianCredit)

## Plot a response variable
plot(AustralianCredit$Y)

economistgame/OptimClassifier documentation built on Jan. 25, 2022, 12:22 p.m.