37. How to Check If Your ML Model Is Good
37.5 Practice, Tip and Close
Why. Close when you can explain accuracy vs precision vs recall and print a confusion matrix.
How.
Chapter practice
- Reuse your Chapter 34 late_delivery model.
- On the test set, print accuracy, precision, recall, confusion_matrix.
- Write which error is worse for the customer: false late alert or missed late delivery.
- State whether accuracy alone is enough for your table.
Thodkyaat sangaycha tar (quick recap)
- Accuracy = overall correct share
- Precision = alert quality; recall = catch rate
- Confusion matrix shows all four error types
- Always score on held-out test data
Samajla ka? Next: Chapter 38 — Overfitting and underfitting.