Gradient-boosted classifier. You compute the 15 features yourself and pass them in; the model returns P(fraud) and a risk level 0-3. Trained on a synthetic dataset - validate on real data. predict accepts one dict, a list of dicts, or a pandas DataFrame with these columns (extra columns are ignored, order doesn't matter, missing ones raise an error). "History" = the sender's transfers strictly before the one being scored, within the last 180 days. "rocauctest": 0.9924, "prauctest": 0.8382, "fraudratetest": 0.0169, "alertprecisionlevel2plus": 0.64, "alertrecalllevel2plus": 0.8287, "recalllevel1plus": 0.9655
Independent publisher
Youssef Mlaouhia
yssfmlha
Models in Library1
Datasets in Library0
Models on Hugging Face1
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Published tasks: Tabular classification.
Reported licenses: mit. Open a record to review its specific license and conditions.
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