Empirical Oversampling Threshold Strategy for Machine Learning Performance Optimisation in Insurance Fraud Detection

Research article (International Journal of Advanced Computer Science and Applications, 2020) · cited 14× · AI/ML
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Empirical Oversampling Threshold Strategy for Machine Learning Performance Optimisation in Insurance Fraud Detection

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Empirical Oversampling Threshold Strategy for Machine Learning Performance Optimisation in Insurance Fraud Detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Empirical Oversampling Threshold Strategy for Machine Learning Performance Optimisation in Insurance Fraud Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/empirical-oversampling-threshold-strategy-for-machine-learning-performance-optimisation-in-insurance-fraud-detection
MLA “Empirical Oversampling Threshold Strategy for Machine Learning Performance Optimisation in Insurance Fraud Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/empirical-oversampling-threshold-strategy-for-machine-learning-performance-optimisation-in-insurance-fraud-detection.
BibTeX @misc{4ortxyz_empirical-oversampling-threshold-strategy-for-machine-learning-performance-optimisation-in-insurance-fraud-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Empirical Oversampling Threshold Strategy for Machine Learning Performance Optimisation in Insurance Fraud Detection}}, year = {2026}, url = {https://4ort.xyz/entity/empirical-oversampling-threshold-strategy-for-machine-learning-performance-optimisation-in-insurance-fraud-detection}, note = {Accessed: 2026-05-24}}
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