✅ Before Building Any Model, Answer These 5 Questions

A surprising number of ML projects fail before training even begins.

Before writing a single line of code, answer these:

1. What decision will this prediction help someone make?
2. What data won't exist when this model is deployed?
3. What's the cost of a wrong prediction?
4. Which metric actually reflects that cost?
5. How will success be measured six months from now?

Most modeling mistakes start here, not in the code.