Your model has 95% accuracy. You ship it.

Three weeks later someone tells you it's missing 40% of actual fraud cases.

You check. The dataset had 95% legit transactions and 5% fraud. Your model just learned to say "not fraud" every single time. 95% accuracy. Zero fraud caught.

That's what happens when you trust accuracy alone. The confusion...