Credit card fraud detection on 1M+ transactions — 0.928 PR-AUC & 0.998 ROC-AUC using CatBoost with Bayesian hyperparameter optimization — 89% Recall @ 80% Precision
fraud-detection-catboost-machine-learning python-imbalanced-learning-feature-engineering optuna-scikit-learn-data-science
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Updated
May 23, 2026 - Jupyter Notebook