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30. The Machine Learning Workflow Step by Step

30.3 Where Humans Still Decide

Why. Models do not own the business. Humans still choose the question, the fairness rules, and the action after a score.

What. Human decisions that stay human:

  • What problem is worth solving this month
  • Which columns are allowed (no cheating, no unfair fields)
  • What “good enough” means for evaluate
  • What to do when risk is high (call customer, add staff, or ignore)

How.

Before you trust a score

  1. Write who gets hurt if the model is wrong (customer, rider, store).
  2. Agree a human review path for high-risk guesses.
  3. Never let a raw score auto-cancel an order without a written rule.
  4. Re-check data after festivals — Diwali weeks look different.

Ravindra Bagale's Tip

Model suggestion deto; manager decision gheto. Interview madhe he bolne mature dista. Samajla ka?