准确率 (zhǔn què lǜ) is a noun meaning 'accuracy rate' — the percentage of correct results or predictions out of the total number of attempts. It combines three characters: 准 (zhǔn, 'precise' or 'on-target'), 确 (què, 'certain' or 'correct'), and 率 (lǜ, 'rate' or 'ratio'). Together, they emphasize correctness measured quantitatively. This term is widely used in technical, scientific, and evaluative contexts — especially where performance metrics matter, such as medical testing, machine learning, language exams, or quality control.

You’ll often see it after verbs like 提高 (tígāo, 'to improve'), 达到 (dá dào, 'to reach'), or 低于/高于 (dī yú/gāo yú, 'lower/higher than'). It’s typically followed by a percentage (e.g., 95%) or compared using comparative structures. Unlike more casual terms like 对 (duì, 'right/correct'), 准确率 carries a formal, data-driven connotation — it’s not about being right once, but about consistent, measurable correctness across many instances.