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lgbm_large) champion model for credit card fraud detection on the
Kaggle Credit Card Fraud Dataset.
Registered in MLflow Registry as fraud-detection-model@production.| Metric | Value |
|---|---|
| PR-AUC | 0.8770 |
| Recall | 0.8571 |
| Precision | 0.8485 |
| F1 | 0.8528 |
1import joblib
2import numpy as np
3
4model = joblib.load("fraud_model.pkl")
5# features: V1-V28 (PCA), Amount (StandardScaler μ=88.35, σ=250.12)
6X = np.array([[...]]) # shape (1, 29)
7proba = model.predict_proba(X)[:, 1] # fraud probability5b382ed3ae21492788e84944044748522fraud-detection-model