GitHub / sundanc / frauddetection
Fraud detection model using ensemble techniques (XGBoost, LightGBM, CatBoost) with SMOTE-ENN balancing, Bayesian Optimization for hyperparameter tuning, and performance evaluation (ROC AUC)
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PURL: pkg:github/sundanc/frauddetection
Stars: 2
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 15.6 KB
Dependencies parsed at: Pending
Created at: 7 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 3 days ago
Topics: bayesian-optimization, classification, fraud-detection, machine-learning, python, xgboost