klotz: fraud detection* + llm* + evaluation* + f1-score* + recall* + precision*

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  1. This article explores various metrics used to evaluate the performance of classification machine learning models, including precision, recall, F1-score, accuracy, and alert rate. It explains how these metrics are calculated and provides insights into their application in real-world scenarios, particularly in fraud detection.

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