Stop Using Accuracy on Imbalanced Data (Interview-Proof Evaluation Checklist)

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...