US EditionHybrid Machine Learning Models Improve Fraud Detection In Financial Transactions
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Hybrid Machine Learning Models Improve Fraud Detection In Financial Transactions
Researchers demonstrate that traditional tree-based machine learning models, specifically Random Forest, currently offer the most effective and accurate approach to detecting fraudulent financial transactions, although a quantum-enhanced Support Vector Machine shows potential for improved precision with further development
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