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

Stop Using Accuracy on Imbalanced Data Accuracy is misleading when classes are imbalanced. If fraud is 1% of transactions, a model that always predicts "no fraud" is 99% accurate but utterly useless. In interviews (and reports), lead with the confus...