Default: Credit Card Default Data

In ISLR: Data for an Introduction to Statistical Learning with Applications in R

Description

A simulated data set containing information on ten thousand customers. The aim here is to predict which customers will default on their credit card debt.

Usage

Default

Format

A data frame with 10000 observations on the following 4 variables.

default

A factor with levels No and Yes indicating whether the customer defaulted on their debt

student

A factor with levels No and Yes indicating whether the customer is a student

balance

The average balance that the customer has remaining on their credit card after making their monthly payment

income

Income of customer

Source

Simulated data

References

James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, https://www.statlearning.com, Springer-Verlag, New York

Examples

summary(Default)
glm(default~student+balance+income,family="binomial",data=Default)

Example output

 default    student       balance           income     
 No :9667   No :7056   Min.   :   0.0   Min.   :  772  
 Yes: 333   Yes:2944   1st Qu.: 481.7   1st Qu.:21340  
                       Median : 823.6   Median :34553  
                       Mean   : 835.4   Mean   :33517  
                       3rd Qu.:1166.3   3rd Qu.:43808  
                       Max.   :2654.3   Max.   :73554  

Call:  glm(formula = default ~ student + balance + income, family = "binomial", 
    data = Default)

Coefficients:
(Intercept)   studentYes      balance       income  
 -1.087e+01   -6.468e-01    5.737e-03    3.033e-06  

Degrees of Freedom: 9999 Total (i.e. Null);  9996 Residual
Null Deviance:	    2921 
Residual Deviance: 1572 	AIC: 1580

ISLR documentation built on Sept. 15, 2021, 9:08 a.m.