A team built a 99% accurate model. It was useless.
Imagine a fraud model scoring 99%, on data where only 1% of transactions are fraud. It could say “not fraud” every time, and catch nothing.
Imagine a fraud model scoring 99%, on data where only 1% of transactions are fraud. It could say “not fraud” every time, and catch nothing.