Stop Using Accuracy on Imbalanced Data (Interview-Proof Evaluation Checklist) Accuracy is seductive but dangerous on imbalanced datasets. When positives are rare (e.g., 1% fraud), a model that predicts "negative" for everything gets 99% accuracy — an...

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