Recall
A metric measuring the framework's capability to correctly identify all actual positive fraud instances in a dataset.
Source: A Hybrid Approach Based on Ensemble Learning and SMOTE Technique for Credit Card Fraud Detection (Academic research) · p.6
Reports that mention Recall
- Predictive Analytics for Credit Risk Assessment: A Machine Learning Approach to Loan Default PredictionAcademic research
- Comparative Evaluation of Machine Learning Models for Credit Card Approval Prediction Using Class Imbalance Handling MethodsAcademic research
- Neuro-Symbolic Artificial Intelligence for Secure, Explainable, and Intelligent Banking and FinTech Systems: Fraud Detection, Credit Risk, Financial Forecasting, and Transaction SecurityAcademic research
- A Scalable MLOps Framework for Intelligent Fraud Detection and Identification in Financial TransactionsAcademic research
- Early Warning System for Non-Performing Loans Using Random Forest and Explainable AI ApproachAcademic research
- UPI Fraud Shield: Real-Time Explainable Financial Fraud Detection and Proactive Early Warning Using Graph Neural NetworksAcademic research
- Intelligent Financial Fraud Detection Using Machine Learning TechniquesAcademic research
- Assessing Blockchain Transactions Using GATv2 and Graph-SMOTEAcademic research
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