AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 260 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
2. 2.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
4. 4.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) old emails marked spam (d) labelled fruit photos
5. 5.Which of these is training data? (a) past weather records (b) the learned patterns (c) typing a new spoken word (d) naming a new leaf
6. 6.True or false: “old emails marked spam” is training data. (a) True (b) False
7. 7.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) recorded spoken words
8. 8.Which of these is training data? (a) what training builds (b) flagging a new email (c) typing a new spoken word (d) old emails marked spam
9. 9.True or false: “typing a new spoken word” is training data. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
12. 12.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) recorded spoken words
13. 13.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
14. 14.True or false: “the trained program” is the model. (a) True (b) False
15. 15.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
17. 17.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) 500 labelled leaf photos
18. 18.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “old emails marked spam” is the model. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
22. 22.True or false: “past weather records” is training data. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
24. 24.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) tomorrow’s rain guess (d) the trained program
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
26. 26.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) the learned patterns
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
31. 31.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) typing a new spoken word (d) recorded spoken words
32. 32.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
33. 33.True or false: “labelled fruit photos” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
36. 36.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) labelled fruit photos (d) naming a new leaf
37. 37.True or false: “naming a new leaf” is a prediction. (a) False (b) True
38. 38.True or false: “what training builds” is the model. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
40. 40.True or false: “naming a new leaf” is training data. (a) False (b) True

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