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Apache License 2.0
Creative Commons Attribution 4.0 International
Creative Commons Attribution Share Alike 4.0 International
Creative Commons Zero v1.0 Universal
GNU General Public License v3.0 or later
MIT License

Credit Card Fraud Detection

Publication Date: 2016

Creators: Worldline and the Machine Learning Group of ULB ((Universite Libre de Bruxelles)

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.

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