The Importance of Accuracy in Data Science

A lot of ML development I've seen and what I used to do was focus purely on that. Like, I need the best model possible. So you're doing waterfall development. You're not doing agile development when you think of projects like that. But a true agile development methodology as applies to data science is setting some sort of competency threshold in your what you're putting out there. And we need to make sure that our accuracy is above 80% for our first round pass.