UCICreditCard {creditmodel}R Documentation

UCI Credit Card data

Description

This research aimed at the case of customers's default payments in Taiwan and compares the predictive accuracy of probability of default among six data mining methods. This research employed a binary variable, default payment (Yes = 1, No = 0), as the response variable. This study reviewed the literature and used the following 24 variables as explanatory variables

Format

A data frame with 30000 rows and 26 variables.

Details

Source

http://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients

See Also

lendingclub


[Package creditmodel version 1.3.0 Index]