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easyData And Model Drift
A fraud detection model trained on 2023 data is deployed in production. In 2024, fraudsters change their behavior — using different transaction amounts, merchant categories, and timing patterns. The model's fraud detection rate drops from 85% to 60% over 6 months. Which type of drift best describes this scenario?
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