Synthetic oversampling for credit card default prediction
Published: 8 March 2023| Version 1 | DOI: 10.17632/jrss9jdjz9.1
Contributor:
Fransiscus Pratikto
Description
This dataset contains more than 17000 data of credit card holder with 20 predictor variables and 1 binary target variable. The corresponding R code for comparing several proposed (density-based) and existing synthetic oversampling methods (SMOTE-based) is also provided.
Files
Institutions
Universitas Katolik Parahyangan Jurusan Teknik Industri
Categories
Data Mining, Oversampling