Why is accuracy misleading on imbalanced data?

An answer that works

Because the base rate dominates. A model that always predicts the majority class scores very well while being useless, and even an accurate classifier for a rare condition produces mostly false positives. Precision, recall and the cost of each error type are the honest measures.