I really like the table of confusion as a way to look at this stuff. I find the terminology somewhat confusing and it's much easier for me to just look up the formulas.
That means 90% accuracy should mean (true_positive + true_negative)/(whole_population) == 90%.
That means 90% accuracy should mean (true_positive + true_negative)/(whole_population) == 90%.
https://en.wikipedia.org/wiki/Confusion_matrix