LeonardoSaccotelli/Dynamic-Ensemble-Learning-for-Credit-Card-Fraud-Detection
A comparative study of Static and Dynamic Ensemble Learning for credit card fraud detection. This project addresses extreme class imbalance by integrating reweighted class and undersampling techniques to optimize detection rates in skewed financial datasets.
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Jupyter Notebook
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MIT
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Last pushed
Mar 13, 2026
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