The limitations of accuracy

In the previous exercise, you found that the logistic regression model made a correct prediction nearly 80% of the time. Despite this relatively high accuracy, the result is misleading due to the rarity of outcome being predicted.

The donors dataset is available to use. What would the accuracy have been if a model had simply predicted "no donation" for each person?