Published April 28, 2025
| Version v1
Dataset
Open
Credit Card Fraud Detection
Creators
Description
Credit Card Fraud Detection FAIR Exercise
This project implements an end-to-end, FAIR-compliant pipeline for detecting fraudulent credit-card transactions. It includes:
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Publicly available data splits (70 % train, 15 % validation, 15 % test) in TU Wien’s DBRepo, each with a persistent identifier.
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A RandomForest model trained on the data, serialized and deposited with metadata in TUWRD.
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Evaluation outputs (confusion matrix, ROC curve, predictions) and a comprehensive model card.
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Fully documented Jupyter notebooks and code under MIT, with environment and metadata files to enable reproducible reuse.
Files
Add MIT license.txt
Files
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Additional details
Dates
- Accepted
-
2025-04-28
Software
- Repository URL
- https://github.com/ag1402/credit-card-fraud