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Dataset for evaluate A2GAN paper

Citation Author(s):
Tuyen Le
Submitted by:
Tuyen Le
Last updated:
DOI:
10.21227/apak-tk06
Data Format:
Research Article Link:
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Abstract

The dataset is pre-processed from two datasets: UCI credit card dataset (https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients) and ULB credit card dataset (https://www.kaggle.com/mlg-ulb/creditcardfraud).

Instructions:

Using provided python scripts, you can generate several files with the format as follow: <A>_creditcard-<B>-<x.x>-<y.y>.csv, where

+ A is the name of dataset (uci or ulb)

+ B is train or test

+ x.x is percentage of missing data

+ y.y is percentage of missing label