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https://github.com/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)
https://github.com/sundanc/frauddetection
bayesian-optimization classification fraud-detection machine-learning python xgboost
Last synced: 19 days ago
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Fraud detection model using ensemble techniques (XGBoost, LightGBM, CatBoost) with SMOTE-ENN balancing, Bayesian Optimization for hyperparameter tuning, and performance evaluation (ROC AUC)
- Host: GitHub
- URL: https://github.com/sundanc/frauddetection
- Owner: sundanc
- License: mit
- Created: 2024-12-21T15:11:24.000Z (20 days ago)
- Default Branch: main
- Last Pushed: 2024-12-21T15:13:36.000Z (20 days ago)
- Last Synced: 2024-12-21T16:23:56.315Z (20 days ago)
- Topics: bayesian-optimization, classification, fraud-detection, machine-learning, python, xgboost
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0