Why High-Quality Annotations Matter in Fraud Models
Focuses on how accurate annotation improves model performance by providing clear examples of fraud patterns. It explains the impact of mislabeled data on false positives and false negatives. A must-read topic for data scientists and fraud analysts.
https://www.a3logics.com/blog/....data-annotation-for-
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