Item talk:Q317530

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Revision as of 18:02, 29 August 2024 by Sky (talk | contribs) (Created page with "{ "OpenAlex": { "id": "https://openalex.org/T11652", "display_name": "Handling Imbalanced Data in Classification Problems", "description": "This cluster of papers focuses on the challenges and techniques for handling imbalanced data in classification problems. It covers methods such as SMOTE, ROC analysis, cost-sensitive learning, ensemble methods, and their applications in fraud detection. The cluster also discusses the use of precision-recall and boosting...")
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{

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     "ROC Analysis",
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     "Ensemble Methods",
     "Fraud Detection",
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     "Boosting",
     "Random Forest"
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   "created_date": "2024-01-23"
 }

}