Downloads · 30 days
0
rajkumar92/fraud-detection-xgboost
fraud-detection-xgboost is a tabular classification model from rajkumar92. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Binary classifier trained on the Kaggle Credit Card Fraud Detection dataset (284,807 transactions, ~0.17% fraud). Handles class imbalance via scaleposweight. Test set performance: 0.84 precision / 0.84 recall on the f…
Downloads · 30 days
0
Access
Public
Updated Sep 10, 2026
Repo size
423 KB
Likes
0
Public
Click a slice to open those files.
.joblib423 KB · 99%
From the Hugging Face model README
Binary classifier trained on the Kaggle Credit Card Fraud Detection dataset
(284,807 transactions, ~0.17% fraud). Handles class imbalance via
scale_pos_weight. Test set performance: 0.84 precision / 0.84 recall on
the fraud class, ROC-AUC 0.978.
JSON with Time, V1-V28, Amount fields.
{"prediction": "fraud" | "legit", "fraud_probability": float}