How Imbalanced Data Affects Classification Model Performance

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2026-08-10 07:42:53 - Translate

A model that predicts fraud with 99 percent accuracy sounds impressive, until you realize that only one percent of transactions in the dataset were actually fraudulent. A model that simply labeled every single transaction as legitimate would achieve that same 99 percent accuracy while catching zero fraud cases. This is the trap of imbalanced data, and it is one of the most common ways...

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