Is 80% accuracy good in machine learning?

It depends on the use case, but 80% accuracy is often too low for financial decisions that affect affordability, pricing, risk assessment, or customer outcomes.  If one in five outputs is wrong, firms may decline suitable applicants, approve riskier borrowers, or struggle to evidence that customers received fair and appropriate outcomes