Credit Card Fraud Detection
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.
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 |
Publication Date:
2016
Creators:
Worldline and the Machine Learning Group of ULB ((Universite Libre de Bruxelles)
Publisher:
Kaggle
Companies:
Universite Libre de Bruxelles
Size:
150.83 MB
Formats:
CSV; JSON
Custom License:
Database Contents License (DbCL) v1.0
Data Category:
Financial and Economic Data