Published 2016 | Version v2
Open dataset Open

Credit Card Fraud Detection

Creators

Description

Description

The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions. The dataset is 0.15 GB large.

The dataset has been collected and analysed during a research collaboration of Worldline and the Machine Learning Group (http://mlg.ulb.ac.be) of ULB (Université Libre de Bruxelles) on big data mining and fraud detection.

Files

creditcard.csv__100lines.csv

Files (53.0 kB)

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md5:6518f3c43b6cb6b6d50b7a57e75905e1
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Variables

Name Description
time Number of seconds elapsed between this transaction and the first transaction in the dataset
V1 may be result of a PCA Dimensionality reduction to protect user identities and sensitive features(v1-v28)
amount Transaction amount
class 1 for fraudulent transactions, 0 otherwise

Details

Resource type Open dataset
Title Credit Card Fraud Detection
Creators
  • Worldline and the Machine Learning Group of ULB (Universite Libre de Bruxelles)
    • Research Fields Business Administration Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Other
    Size 0.15 GB
    Formats Comma-separated values (CSV) (.csv) JSON format (.json)
    License(s) Database Contents License (DbCL) v1.0
    External Resource https://www.kaggle.com/mlg-ulb/creditcardfraud